IEEE Transactions on Neural Networks and Learning Systems, Volume 25, Number 10, October 2014

REGULAR PAPERS

1. A New Learning Algorithm for a Fully Connected Neuro-Fuzzy Inference System
Author(s): C. L. P. Chen, J. Wang, C.-H. Wang, and L. Chen
Pages: 1741-1757

2. Synchronization of Stochastic Dynamical Networks Under Impulsive Control With Time Delays
Author(s): W. Zhang, Y. Tang, Q. Miao, and J.-A. Fang
Pages: 1758-1768

3. Stochastic Learning via Optimizing the Variational Inequalities
Author(s): Q. Tao, Q.-K. Gao, D.-J. Chu, and G.-W. Wu
Pages: 1769-1778

4. Sparse Alignment for Robust Tensor Learning
Author(s): Z. Lai, W. K. Wong, Y. Xu, C. Zhao, and M. Sun
Pages: 1779-1792

5. An Incremental Design of Radial Basis Function Networks
Author(s): H. Yu, P. D. Reiner, T. Xie, T. Bartczak, and B. M. Wilamowski
Pages: 1793-1803

6. Pinning Distributed Synchronization of Stochastic Dynamical Networks: A Mixed Optimization Approach
Author(s): Y. Tang, H. Gao, J. Lu, and J. Kurths
Pages: 1804-1815

7. Deep Networks are Effective Encoders of Periodicity
Author(s): L. Szymanski and B. McCane
Pages: 1816-1827

8. Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares
Author(s): N. Wang, M. J. Er, and M. Han
Pages: 1828-1841

9. LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification
Author(s): F. Charte, A. J. Rivera, M. J. del Jesus, and F. Herrera
Pages: 1842-1854

10. A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence
Author(s): L.-X. Li, L. Wu, H.-S. Zhang, and F.-X. Wu
Pages: 1855-1863

11. Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
Author(s): M. Hu, H. Li, Y. Chen, Q. Wu, G. S. Rose, and R. W. Linderman
Pages: 1864-1878

12. Multiobjective Optimization for Model Selection in Kernel Methods in Regression
Author(s): D. You, C. F. Benitez-Quiroz, and A. M. Martinez
Pages: 1879-1893

13. Separation of Synchronous Sources Through Phase Locked Matrix Factorization
Author(s): M. S. B. Almeida, R. Vigário, and J. Bioucas-Dias
Pages: 1894-1908

14. Clipping in Neurocontrol by Adaptive Dynamic Programming
Author(s): M. Fairbank, D. Prokhorov, and E. Alonso
Pages: 1909-1920

BRIEF PAPERS

15. Consensus Acceleration in a Class of Predictive Networks
Author(s): H.-T. Zhang and Z. Chen
Pages: 1921-1927

16. H-infinity Output Tracking Control of Discrete-Time Nonlinear Systems via Standard Neural Network Models
Author(s): M. Liu, S. Zhang, H. Chen, and W. Sheng
Pages: 1928-1935

17. Extended Dissipative Analysis for Neural Networks With Time-Varying Delays
Author(s): T. H. Lee, M.-J. Park, J. H. Park, O.-M. Kwon, and S.-M. Lee
Pages: 1936-1941

18. Multilinear Sparse Principal Component Analysis
Author(s): Z. Lai, Y. Xu, Q. Chen, J. Yang, and D. Zhang
Pages: 1942

IEEE Transactions on Fuzzy Systems: Issue 5, Volume 22, October 2014

REGULAR PAPERS

1. Partial Tracking Error Constrained Fuzzy Dynamic Surface Control for a Strict Feedback Nonlinear Dynamic System
Author(s): S.I. Han and J.M. Lee
Pages: 1049-1061

2. Non-L-R Type Fuzzy Parameters in Mathematical Programming Problems
Author(s): C.-F. Hu, M. Adivar, and S.-C. Fang
Pages: 1062-1073

3. A Novel Evolutionary Kernel Intuitionistic Fuzzy C-means Clustering Algorithm
Author(s): K.-P. Lin
Pages: 1074-1087

4. A Dynamic Decoupling Approach to Robust T–S Fuzzy Model-Based Control
Author(s): C.-S. Chiu
1088-1100

5. Relaxed Stability and Stabilization Conditions of Networked Fuzzy Control Systems Subject to Asynchronous Grades of Membership
Author(s): C. Peng, D. Yue, and M.-R. Fei
Pages: 1101-1112

6. Fuzzy n-Ellipsoid Numbers and Representations of Uncertain Multichannel Digital Information
Author(s): G. Wang, P. Shi, B.Wang, and J. Zhang
Pages: 1113-1126

7. Prioritized Measure-Guided Aggregation Operators
Author(s): L. Chen, Z. Xu, and X. Yu
Pages: 1127-1138

8. A Fuzzy Measure Approach to Systems Reliability Modeling
Author(s): R. R. Yager
Pages: 1139-1150

9. Fuzzy Concept Hierarchies and Evidence Resolution
Author(s): F. E. Petry and R. R. Yager
Pages: 1151-1161

10. General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial
Author(s): J. M. Mendel
Pages: 1162-1182

11. Nonfragile Control With Guaranteed Cost of T–S Fuzzy Singular Systems Based on Parallel Distributed Compensation
Author(s): C. Han, L. Wu, H.K. Lam, and Q. Zeng
Pages: 1183-1196

12. On the Monotonicity of Interval Type-2 Fuzzy Logic Systems
Author(s): C. Li, J. Yi, and G. Zhang
Pages: 1197-1212

13. Robust Model Predictive Control for Discrete-Time Takagi–Sugeno Fuzzy Systems With Structured Uncertainties and Persistent Disturbances
Author(s): W. Yang, G. Feng, and T. Zhang
Pages: 1213-1228

14. Accelerating Fuzzy-C Means Using an Estimated Subsample Size
Author(s): J. K. Parker and L. O. Hall
Pages: 1229-1244

15. On Advanced Computing With Words Using the Generalized Extension Principle for Type-1 Fuzzy Sets
Author(s): M.R. Rajati and J.M. Mendel
Pages: 1245-1261

16. Adaptive Sliding-Mode Antisway Control of Uncertain Overhead Cranes With High-Speed Hoisting Motion
Author(s): M.-S. Park, D. Chwa, and M. Eom
Pages: 1262-1271

17. The Neuro-Fuzzy Computing System With the Capacity of Implementation on a Memristor Crossbar and Optimization-Free Hardware Training
Author(s): F. Merrikh-Bayat, F. Merrikh-Bayat, and S. B. Shouraki
Pages: 1272-1287

18. Adaptive Fuzzy Control for MIMO Nonlinear Systems With Nonsymmetric Control Gain Matrix and Unknown Control Direction
Author(s): W. Shi
Pages: 1288-1300

19. Two-mode Indirect Adaptive Control Approach for the Synchronization of Uncertain Chaotic Systems by the Use of a Hierarchical Interval Type-2 Fuzzy Neural Network
Author(s): A. Mohammadzadeh, O. Kaynak, and M. Teshnehlab
Pages: 1301-1312

20. Fuzzy Control Design for Nonlinear ODE-Hyperbolic PDE-Cascaded Systems: A Fuzzy and Entropy-Like Lyapunov Function Approach
Author(s): J.-W. Wang, H.-N. Wu, and H.-X. Li
Pages: 1313-1324

21. Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models
Author(s): D. Chen and Y. Yang
Pages: 1325-1334

SHORT PAPERS

22. On Computing Normalized Interval Type-2 Fuzzy Sets
Author(s): J. M. Mendel and M. R. Rajati
Pages: 1335-1340

23. Adaptive Fuzzy Output-Feedback Control of Pure-Feedback Uncertain Nonlinear Systems With Unknown Dead Zone
Author(s): Y. Li and S. Tong
Pages: 1341-1346

24. A Heuristic Method to Compute the Approximate Postinverses of a Fuzzy Matrix
Author(s): P. Li
Pages: 1347-1351

25. Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean
Author(s): F. Ahmed and S. Das
Pages: 1352-1358

26. Adaptive Fuzzy Control for a Class of Nonlinear Discrete-Time Systems With Backlash
Author(s): Y.-J. Liu and S. Tong
Pages: 1359-1364

27. Adaptive Fuzzy Decentralized Output Stabilization for Stochastic Nonlinear Large-Scale Systems With Unknown Control Directions
Author(s): S. Tong, S. Sui, and Y. Li
Pages: 1365

Reminder: conference paper deadline for IEEE CIG 2015

A reminder that the paper submission deadline for the 2015 IEEE Conference on Computational Intelligence in Games (IEEE CIG) is April 2, 2015. This conference will be held in Tainan, Taiwan, 31 August to 2 September, 2015.

Reminder: paper submission deadline for CEC 2015

A reminder that the deadline for submitting papers to the IEEE Congress on Evolutionary Computation (IEEE CEC) 2015 is December 19, 2014. This conference will be held in Sendai, Japan, 25-28 May, 2015.

Neural Networks Special Issue: Neural Network Learning in Big Data

Big data is much more than storage of and access to data. Analytics plays an important role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms encounter theoretical challenges in scaling up to big data. Plus there are challenges of high dimensionality, velocity and variety for all types of machine learning algorithms. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. The brain is arguably the best and most elegant big data processor and is the inspiration for neural network learning methods. Neural network type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used for stored big data. For stored big data, neural network algorithms can learn from all of the data instead of from samples of the data. And the same is true for streaming data where not all of the data is actually stored. In general, online, incremental learning algorithms are less vulnerable to size of the data. Neural network algorithms, in particular, can take advantage of massively parallel (brain-like) computations, which use very simple processors, that other machine learning technologies cannot. Specialized neuromorphic hardware, originally meant for large-scale brain simulations, is becoming available to implement these algorithms in a massively parallel fashion. Neural network algorithms, therefore, can deliver very fast and efficient real-time learning through the use of hardware and this could be particularly useful for streaming data in the Industrial Internet. Neural network technologies thus can become significant components of big data analytics platforms and this special issue will begin that journey with big data.

For this special issue of Neural Networks, we invite papers that address many of the challenges of learning from big data. In particular, we are interested in papers on efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of online learning to solve real-world big data problems (e.g. health care, transportation, and electric power and energy management).

RECOMMENDED TOPICS:

Topics of interest include, but are not limited to:

1. Autonomous, online, incremental learning – theory, algorithms and applications in big data
2. High dimensional data, feature selection, feature transformation – theory, algorithms and applications for big data
3. Scalable neural network algorithms for big data
4. Neural network learning algorithms for high-velocity streaming data
5. Deep neural network learning
6. Neuromorphic hardware for scalable neural network learning
7. Big data analytics using neural networks in healthcare/medical applications
8. Big data analytics using neural networks in electric power and energy systems
9. Big data analytics using neural networks in large sensor networks
10. Big data and neural network learning in computational biology and bioinformatics

SUBMISSION PROCEDURE:

Prospective authors should visit http://ees.elsevier.com/neunet/ for information on paper submission. During the submission process, there will be steps to designate the submission to this special issue. However, please indicate on the first page of the manuscript that the manuscript is intended for the Special Issue: Neural Network Learning in Big Data. Manuscripts will be peer reviewed according to Neural Networks guidelines.

Manuscript submission due: December 15, 2014
First review completed: March 1, 2015
Revised manuscript due: April 1, 2015
Second review completed, final decisions to authors: April 15, 2015
Final manuscript due: April 30, 2015

GUEST EDITORS:

• Asim Roy, Arizona State University, USA (asim.roy@asu.edu) (lead guest editor)
• Kumar Venayagamoorthy, Clemson University, USA (gkumar@ieee.org)
• Nikola Kasabov, Auckland University of Technology, New Zealand (nkasabov@aut.ac.nz)
• Irwin King, Chinese University of Hong Kong, China (irwinking@gmail.com)

IEEE Transactions on Computational Intelligence and Artificial Intelligence in Games, Volume 6, Issue 3, September 2014

1. Real-Time Monte Carlo Tree Search in Ms Pac-Man
Author(s): T. Pepels, M. H. M. Winands, and M. Lanctot
Pages: 245-257

2. An Automatically Generated Evaluation Function in General Game Playing
Author(s): K. Walędzik and J. Mańdziuk
Pages: 258-270

3. A Computational Model of Plan-Based Narrative Conflict at the Fabula Level
Author(s): S. G. Ware, R. M. Young, B. Harrison, and D. L. Roberts
Pages: 271-288

4. Good Machine Performance in Turing’s Imitation Game
Author(s): K. Warwick and H. Shah
Pages: 289-300

5. Preference Learning for Move Prediction and Evaluation Function Approximation in Othello
Author(s): T. P. Runarsson and S. M. Lucas
Pages: 300-313

Evolving Systems Volume 5, Issue 3, September 2014

Review

1. Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms
Author(s): Abdelhamid Bouchachia , Arthur Lena & Charlie Vanaret
Pages: 143-157

Original Papers

2. OWA filters and forecasting models applied to electric power load time series
Author(s): R. Ballini & R. R. Yager
Pages: 159-173

3. Visualization of evolving fuzzy rule-based systems
Author(s): Sascha Henzgen , Marc Strickert & Eyke Hüllermeier
Pages: 175-191

4. Interval type-2 fuzzy logic controller design for TCSC
Author(s): Manoj Kumar Panda , G. N. Pillai & Vijay Kumar
Pages: 193-208

5. Classification of mammography images based on cellular automata and Haralick parameters
Author(s): Sarah Benmazou , Hayet Farida Merouani , Soumia Layachi & Beledjhem Nedjmeddine
Pages: 209-216

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Number 9, September 2014

SPECIAL ISSUE ON COMPLEX- AND HYPERCOMPLEX-VALUED NEURAL NETWORKS

1. Guest Editorial: Special Issue on Complex- and Hypercomplex-Valued Neural Networks
Author(s): A. Hirose, I. Aizenberg, and D. P. Mandic
Page(s): 1597-1599

SPECIAL ISSUE PAPERS

2. Complex-Valued Recurrent Correlation Neural Networks
Author(s): M. E. Valle
Page(s): 1600-1612

3. The Field of Values of a Matrix and Neural Networks
Author(s): G. M. Georgiou
Page(s): 1613-1620

4. Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices
Author(s): B. Liao and Y. Zhang
Page(s): 1621-1631

5. MLMVN With Soft Margins Learning
Author(s): I. Aizenberg
Page(s): 1632-1644

6. Modified Multivalued Neuron With Periodic Tolerant Activation Function
Author(s): J.-P. Chen and S.-J. Lee
Page(s): 1645-1658

7. A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System
Author(s): K. Subramanian, R. Savitha, and S. Suresh
Page(s): 1659-1672

8. Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems
Author(s): S. Chen, X. Hong, J. Gao, and C. J. Harris
Page(s): 1673-1685

9. Fading Channel Prediction Based on Combination of Complex-Valued Neural Networks and Chirp Z-Transform
Author(s): T. Ding and A. Hirose
Page(s): 1686-1695

10. On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks
Author(s): E. C. Behrman, R. E. F. Bonde, J. E. Steck, and J. F. Behrman
Page(s): 1696-1703

SPECIAL ISSUE BRIEF PAPERS

11. Global Stability Criterion for Delayed Complex-Valued Recurrent Neural Networks
Author(s): Z. Zhang, C. Lin, and B. Chen
Page(s): 1704-1708

12. Further Investigate the Stability of Complex-Valued Recurrent Neural Networks With Time-Delays
Author(s): T. Fang and J. Sun
Page(s): 1709-1713

13. Threshold Complex-Valued Neural Associative Memory
Author(s): P. Zheng
Page(s): 1714-1718

14. Principal Component Analysis With Complex Kernel: The Widely Linear Model
Author(s): A. Papaioannou and S. Zafeiriou
Page(s): 1719-1726

15. Ultrawideband Direction-of-Arrival Estimation Using Complex-Valued Spatiotemporal Neural Networks
Author(s): K. Terabayashi, R. Natsuaki, and A. Hirose
Page(s): 1727-1732

16. Adaptive Dynamic Programming for a Class of Complex-Valued Nonlinear Systems
Author(s): R. Song, W. Xiao, H. Zhang, and C. Sun
Page(s): 1733

Conference abstract deadline: NCEI 2015

The deadline for submitting abstracts to the 13th International Conference on Neuro-Computing and Evolving Intelligence (NCEI) 2015 is 30 November, 2014. This conference will be held in Auckland, New Zealand, 19-20 February, 2015.

Neural Networks Volume 58, Pages 1-148, October 2014

Special Issue on Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis
Edited by Amir Hussain, Erik Cambria, Björn Schuller and Newton Howard

1. Affective neural networks and cognitive learning systems for big data analysis  
Pages: 1-3
Author(s): Amir Hussain, Erik Cambria, Björn Schuller, Newton Howard
   
2. Discrete particle swarm optimization for identifying community structures in signed social networks
Pages: 4-13
Author(s): Qing Cai, Maoguo Gong, Bo Shen, Lijia Ma, Licheng Jiao
   
3. An incremental community detection method for social tagging systems using locality-sensitive hashing
Pages: 14-28
Author(s): Zhenyu Wu, Ming Zou
   
4. Affective topic model for social emotion detection
Pages: 29-37
Author(s): Yanghui Rao, Qing Li, Liu Wenyin, Qingyuan Wu, Xiaojun Quan
   
5. Modeling virtual organizations with Latent Dirichlet Allocation: A case for natural language processing
Pages: 38-49
Author(s): Alexander Gross, Dhiraj Murthy
   
6. Semi-supervised word polarity identification in resource-lean languages
Pages: 50-59
Author(s): Iman Dehdarbehbahani, Azadeh Shakery, Heshaam Faili
   
7. Incorporating conditional random fields and active learning to improve sentiment identification
Pages: 60-67
Author(s): Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok Choudhary
   
8. A classification of user-generated content into consumer decision journey stages
Pages: 68-81
Author(s): Silvia Vázquez, Óscar Muñoz-García, Inés Campanella, Marc Poch, Beatriz Fisas, Nuria Bel, Gloria Andreu
   
9. Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language
Pages: 82-97
Author(s): Gian Piero Zarri
   
10. Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy
Pages: 98-110
Author(s): Yi Cai, Qing Li, Haoran Xie, Huaqin Min
   
11. Community-aware user profile enrichment in folksonomy
Pages: 111-121
Author(s): Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao
   
12. A multi-label, semi-supervised classification approach applied to personality prediction in social media
Pages: 122-130
Author(s): Ana Carolina E.S. Lima, Leandro Nunes de Castro
   
13. Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding
Pages: 131-147
Author(s): Daniel Olsher

IEEE Transactions on Evolutionary Computation, Volume 18, Number 4, August 2014

1. Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems
Author(s): M. Iqbal, W. N. Browne, and M. Zhang
Pages: 465-480

2. Quick Hypervolume
Author(s): L. M. S. Russo and A. P. Francisco
Pages: 481-502

3. Ant Colony Optimization for Mixed-Variable Optimization Problems
Author(s): T. Liao, K. Socha, M. A. Montes de Oca, T. Stutzle, and M. Dorigo
Pages: 503-518

4. Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
Author(s): H. Karshenas, R. Santana, C. Bielza, and P. Larranaga
Pages: 519-542

5. Evolving an Improved Algorithm for Envelope Reduction Using a Hyper-Heuristic Approach
Author(s): B. Koohestani and R. Poli
Pages: 543-558

6. Evolving Classifiers to Recognize the Movement Characteristics of Parkinson’s Disease Patients
Author(s): M. A. Lones, S. L. Smith, J. E. Alty, S. E. Lacy, K. L. Possin, D. R. S. Jamieson, and A. M. Tyrrell
Pages: 559-576

7. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Author(s): K. Deb and H. Jain
Pages: 577-601

8. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
Author(s): H. Jain and K. Deb
Pages: 602

IEEE Transactions on Fuzzy Systems, Volume 22, Number 4, August 2014

REGULAR PAPERS

1. Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Robot Manipulator Including Actuator Dynamics
Author(s): R.-J.Wai and R.Muthusamy
Pages: 709-722

2. Rule-Based Cooperative Continuous Ant Colony Optimization to Improve the Accuracy of Fuzzy System Design
Author(s): C.-F.Juang, C.-W. Hung, and C.-H. Hsu
Pages: 723-735

3. A Model-Based Fault Detection and Prognostics Scheme for Takagi–Sugeno Fuzzy Systems
Author(s): B.T. Thumati, M. A. Feinstein, and S. Jagannathan
Pages: 736-748

4. Intuitionistic Fuzzy Analytic Hierarchy Process
Author(s):Z. Xu and H. Liao
Pages: 749-761

5. A Semisupervised Multiagent System Model to Support Consensus-Reaching Processes
Author(s): I. Palomares and L. Martinez
Pages: 762-777
 
6. Context-Dependent Fuzzy Systems With Application to Time-Series Prediction
Author(s): D. T. Ho and J. M. Garibaldi
Pages: 778-790
 
7. Intelligent Control Using the Wavelet Fuzzy CMAC Backstepping Control System for Two-Axis Linear Piezoelectric Ceramic Motor Drive Systems
Author(s): C.-M. Lin and H.-Y. Li
Pages: 791-802

8. Moment Adaptive Fuzzy Control and Residue Compensation
Author(s): T. Tao and S.-F. Su
Pages: 803-816
 
9. The Exponential Stability and Asynchronous Stabilization of a Class of Switched Nonlinear System Via the T–S Fuzzy Model
Author(s): Y. Mao, H. Zhang, and S. Xu
Pages: 817-828
 
10. Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods
Author(s): J. Fan, J. Wang, and M. Han
Pages: 829-839
 
11. The Reduction of Interval Type-2 LR Fuzzy Sets
Author(s): C.-L. Chen, S.-C. Chen, and Y.-H. Kuo
Pages: 840-858

12. From Fuzzy Cognitive Maps to Granular Cognitive Maps
Author(s): W. Pedrycz and W. Homenda
Pages: 859-869
 
13. Robust H8 Control for Stochastic T–S Fuzzy Systems via Integral Sliding-Mode Approach
Author(s): Q. Gao, G. Feng, L. Liu, J. Qiu, and Y. Wang
870-881
 
14. Multicriteria Decision-Making With Imprecise Importance Weights
Author(s): R. R. Yager and N. Alajlan
Pages: 882-891
 
15. Simulation of Fuzzy Queueing Systems With a Variable Number of Servers, Arrival Rate, and Service Rate
Author(s): E.Munoz and E. H. Ruspini
Pages: 892-903
 
16. Membership Function Design for Multifactorial Multivariate Data Characterizing and Coding in Human Component System Studies
Author(s): P. Loslever
Pages: 904-918
 
17. OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi–Sugeno Fuzzy Modeling
Author(s): N.J. Cheung, X.-M. Ding, and H.-B. Shen
Pages: 919-933
 
18. The Generalized TP Model Transformation for T–S Fuzzy Model Manipulation and Generalized Stability Verification
Author(s): P. Baranyi
Pages: 934-948
 
19. Hypermatching: Similarity Matching With Extreme Values
Author(s): R. R. Yager and F. E. Petry
Pages: 949-957
 
20. Pythagorean Membership Grades in Multicriteria Decision Making
Author(s): R. R. Yager
Pages: 958-965
 
21. Dual Bipolar Measures of Atanassov’s Intuitionistic Fuzzy Sets
Author(s): L.-H. Chen, and C.-C. Tu
Pages: 966-982
 
22. Generalized Markov Models for Real-Time Modeling of Continuous Systems
Author(s): D. P. Filev and I. Kolmanovsky
Pages: 983-998
 
23. GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier
Author(s): A. Bouchachia and C. Vanaret
Pages: 999-1018

SHORT PAPERS

24. Fuzzy-Model-Based D-Stability and Nonfragile Control for Discrete-Time Descriptor Systems With Multiple Delays
Author(s): F. Li, P. Shi, L. Wu, and X. Zhang
Pages: 1019-1025
 
25. Further Studies on Control Synthesis of Discrete-Time T–S Fuzzy Systems via Useful Matrix Equalities
Author(s): X. Xie, D. Yue, and X. Zhu
Pages: 1026-1030
 
26. Stability Analysis of Positive Interval Type-2 TSK Systems With Application to Energy Markets
Author(s): M.S.  Fadali and S. Jafarzadeh
Pages: 1031-1038
 
27. Orness Measure of OWA Operators: A New Approach
Author(s): A. Kishor, A. K. Singh, and N. R. Pal
Pages: 1039-1044
 
28. A Characterization of the Orthogonal Grid Constructions of Copulas
Author(s): J. F. Sanchez and M. Ubeda-Flores
Pages: 1045

Neural Networks Volume 57, Pages 1-166, September 2014

Neuroscience

1. Bayesian common spatial patterns for multi-subject EEG classification
Author(s): Hyohyeong Kang, Seungjin Choi
Pages: 39-50
  
2. Estimating the correlation between bursty spike trains and local field potentials
Author(s): Zhaohui Li, Gaoxiang Ouyang, Li Yao, Xiaoli Li
Pages: 63-72

3. Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network
Author(s): Hongyan Cui, Chen Feng, Yuan Chai, Ren Ping Liu, Yunjie Liu
Pages: 141-151

Learning Systems

4. Noise model based image -support vector regression with its application to short-term wind speed forecasting
Author(s): Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi, Jie Wan
Pages: 1-11
   
5. Using financial risk measures for analyzing generalization performance of machine learning models
Author(s): Akiko Takeda, Takafumi Kanamori
Pages: 29-38
   
6. Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
Author(s): Shangping Zhong, Tianshun Chen, Fengying He, Yuzhen Niu
Pages: 51-62
   
7. Semi-supervised information-maximization clustering
Author(s): Daniele Calandriello, Gang Niu, Masashi Sugiyama
Pages: 103-111
   
8. Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation
Author(s): Voot Tangkaratt, Syogo Mori, Tingting Zhao, Jun Morimoto, Masashi Sugiyama
Pages: 128-140

Mathematical and Computational Analysis

9. Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions
Author(s): Lian Duan, Lihong Huang
Pages: 12-22
   
10. Comparing fixed and variable-width Gaussian networks
Author(s): Věra Kůrková, Paul C. Kainen
Pages: 23-28
   
11. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
Author(s): A. Chandrasekar, R. Rakkiyappan, Jinde Cao, S. Lakshmanan
Pages: 79-93
   
12. Sudoku associative memory
Author(s): Jiann-Ming Wu, Pei-Hsun Hsu, Cheng-Yuan Liou
Pages: 112-127

Engineering and Applications

13. Neural network for solving Nash equilibrium problem in application of multiuser power control
Author(s): Xing He, Junzhi Yu, Tingwen Huang, Chuandong Li, Chaojie Li
Pages: 73-78
   
14. A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
Author(s): Xiaoyang Liu, Daniel W.C. Ho, Wenwu Yu, Jinde Cao
Pages: 94-102
   
15. Image denoising using nonsubsampled shearlet transform and twin support vector machines
Author(s): Hong-Ying Yang, Xiang-Yang Wang, Pan-Pan Niu, Yang-Cheng Liu
Pages: 152-165

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 8, August 2014

1. GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines
Authors: Aroor Dinesh Dileep; Chellu Chandra Sekhar
Page(s): 1421 - 1432

2. Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation
Authors: Xiaohui Huang; Yunming Ye; Haijun Zhang
Page(s): 1433 - 1446

3. Efficient Kernel Sparse Coding Via First-Order Smooth Optimization
Authors: Minyoung Kim
Page(s): 1447 - 1459

4. Contact-Force Distribution Optimization and Control for Quadruped Robots Using Both Gradient and Adaptive Neural Networks
Authors: Zhijun Li; Shuzhi Sam Ge; Sibang Liu
Page(s): 1460 - 1473

5. On the Capabilities and Computational Costs of Neuron Models
Authors: Michael J. Skocik; Lyle N. Long
Page(s): 1474 - 1483

6. Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes—A New Framework for Feedforward Neural Networks
Authors: Eric Fock
Page(s): 1484 - 1495

7. Cooperative Tracking Control of Nonlinear Multiagent Systems Using Self-Structuring Neural Networks
Authors: Gang Chen; Yong-Duan Song
Page(s): 1496 - 1507

8. Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems
Authors: Zhouhua Peng; Dan Wang; Hongwei Zhang; Gang Sun
Page(s): 1508 - 1519

9. Instance-Level Constraint-Based Semisupervised Learning With Imposed Space-Partitioning
Authors: Jayaram Raghuram; David J. Miller; George Kesidis
Page(s): 1520 - 1537

10. Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models
Authors: Zizhu Fan; Yong Xu; Wangmeng Zuo; Jian Yang; Jinhui Tang; Zhihui Lai; David Zhang
Page(s): 1538 - 1552

11. On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
Authors: Monica Bianchini; Franco Scarselli
Page(s): 1553 - 1565

12. A Minimum Resource Neural Network Framework for Solving Multiconstraint Shortest Path Problems
Authors: Junying Zhang; Xiaoxue Zhao; Xiaotao He
Page(s): 1566 - 1582

13. Simulating Dynamic Plastic Continuous Neural Networks by Finite Elements
Authors: Abdolreza Joghataie; Omid Oliyan Torghabehi
Page(s): 1583 - 1587

14. Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction
Authors: Wei Bian; Tianyi Zhou; Aleix M. Martinez; George Baciu; Dacheng Tao
Page(s): 1588 - 1594

15. Correction to “Convergence and Rate Analysis of Neural Networks for Sparse Approximation”
Authors: Aurele Balavoine; Justin Romberg; Christopher J. Rozell
Page(s): 1595 - 1596

IEEE TNNLS Special issue on “Neurodynamic Systems for Optimization and Applications”

Recurrent neural networks, as dynamical systems, are usually used as models for solving computationally intensive problems. Because of their inherent nature of parallel and distributed information processing, recurrent neural networks are promising computational models for real-time applications. Constrained optimization problems arise in a wide variety of scientific and engineering applications, including signal and image processing, system identification, robot control, process control, pattern recognition, etc. Since the Hopfield neural network was introduced for solving optimization problems, significant progress has been made in theory, algorithms and applications. A number of neurodynamic models have been proposed for solving different problems ranging from discrete optimization to continuous optimization, linear programming to nonlinear optimization, convex optimization to non-convex optimization, smooth optimization to non-smooth optimization, numerical software to analog hardware implementations, etc. Some of them have been successfully applied to robot control, process control, signal and image processing, pattern recognition and classification, economic prediction and so on. In addition, as a kind of neuromorphic systems, they are potentially useful for simulating the brain functions, which is an important topic in neuroscience.

The objective of this special issue is to bring together recent advances in the field of neurodynamic systems for solving optimization problems. We invite original and unpublished research contributions in all relevant areas. We will encourage submissions of papers with new models and applications which would further promote research activities in this area.

Topics of interest include, but are not limited to:

• Neurodynamic models for constrained optimization
• Neurodynamic models for multi-objective optimization
• Neurodynamic models for large-scale optimization problems
• Neurodynamic models for deep learning
• Neurodynamic models for optimal control
• Neurodynamic models for tensor decomposition
• Analysis of neurodynamic optimization systems
• Neurodynamic optimization in the brain
• Neurodynamic optimization for process control
• Neurodynamic optimization for robot control
• Neurodynamic optimization for biomedical engineering problems
• Neurodynamic optimization for signal processing
• Neurodynamic optimization for image processing
• Neurodynamic optimization for support vector machine learning
• Neurodynamic optimization for pattern recognition
• Neurodynamic optimization for other applications

IMPORTANT DATES

Aug. 15, 2014 – Deadline for manuscript submission
Dec. 31, 2014 – Notification to authors
Feb. 15, 2015 – Deadline for submission of revised manuscripts
Mar.1, 2015 – Final decision
May/June 2015 – Special issue publication in the IEEE TNNLS.

SUBMISSION INSTRUCTIONS

1. Read the information for authors at http://cis.ieee.org/tnnls
2. Submit the manuscript by August 15, 2014 at the IEEE-TNNLS webpage http://mc.manuscriptcentral.com/tnnls and follow the submission procedure. Please indicate clearly on the first page of the manuscript and the Author’s Cover Letter that the manuscript has been submitted to the Special Issue on Neurodynamic Systems for Optimization and Applications. Send also an e-mail to chenglong@compsys.ia.ac.cn with subject “TNNLS special issue submission” to notify the editors of your submission.

GUEST EDITORS

Zhigang Zeng
Huazhong University of Science and Technology, China
zgzeng@hust.edu.cn
http://auto.hust.edu.cn/zhigangzeng/

Andrzej Cichocki
Brain Science Institute, RIKEN, Japan
cia@braiin.riken.jp
http://www.bsp.brain.riken.jp/~cia/

Long Cheng
Institute of Automation, Chinese Academy of Sciences, China
long.cheng@ia.ac.cn
http://compsys.ia.ac.cn/~chenglong

Yousheng Xia
Fuzhou University, China
ysxia@fzu.edu.cn
http://cmcs.fzu.edu.cn/action-model-name-teacher-itemid-34

Xiaolin Hu
Tsinghua University, China
xlhu@tsinghua.edu.cn
www.xlhu.cn

Neural Networks Volume 56, Pages 1-68, August 2014

1. A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment
Pages: 1-9
Author(s): Dong Wen, Qing Xue, Chengbiao Lu, Xinyong Guan, Yuping Wang, Xiaoli Li

2. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Pages: 10-21
Author(s): Mathieu N. Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

3. Ideal regularization for learning kernels from labels
Pages: 22-34
Author(s): Binbin Pan, Jianhuang Lai, Lixin Shen

4. Grid topologies for the self-organizing map
Pages: 35-48
Author(s): Ezequiel López-Rubio, Antonio Díaz Ramos

5. Synaptic dynamics: Linear model and adaptation algorithm
Pages: 49-68
Author(s): Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger

Evolving Systems, Volume 5, Issue2

1. Editorial: Special issue: applications, results & future direction (EAIS 12): 2
Author(s): Iglesias Martínez & Igor Škrjanc

2. Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting
Author(s): Leandro Maciel , Fernando Gomide & Rosangela Ballini

3. Adaptive maximum-lifetime routing in mobile ad-hoc networks using temporal difference reinforcement learning
Author(s): Saloua Chettibi & Salim Chikhi

4. A self-organized system improving inner topology for data sharing efficiency
Author(s): Frédéric Armetta , Mohammed Haddad , Salima Hassas & Hamamache Kheddouci

5. Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives
Author(s): Kazi Shah Nawaz Ripon & Jim Torresen

6. Integrated temporal partitioning and partial reconfiguration techniques for design latency improvement
Author(s): Ramzi Ayadi , Bouraoui Ouni & Abdellatif Mtibaa

Reminder: paper submission deadline for SEAL 2014

A reminder that the deadline for submitting papers to the 10th International Conference on Simulated Evolution and Learning (SEAL) 2014 is 14 July, 2014. This conference will be held in Dunedin, New Zealand, 15-18 December, 2014.

A note on my posting

Some people may have noticed that my posts are appearing at odd times, or have slightly different formatting. The reason for this is that I am currently in China, where I am spending some time teaching at Huanggang Normal University and Xuzhou Institute of Technology. When I've finished teaching, I will take some time off before attending the WCCI 2014 conference in Beijing, where I'm chairing a special session.

While everyone here is very friendly and go out of their way to be helpful, there is one thing I dislike about China: the internet censorship. This means that I can't access Blogger directly to post or check updates before they post, so I have to do it via email. So, I sometimes make mistakes with the formatting, and I can't schedule updates to go live at certain times like I usually do.

I'm also updating Twitter via email, which is a bit easier to do, so you can follow me there if you aren't already. Please bear with me, I will be back in New Zealand mid-July and posts will return to their more usual schedule.

IEEE Transactions on Evolutionary Computation Volume 18, Number 3, June 2014

1. A Self-Adjustable Input Genetic Algorithm for the Near-Surface Problem in Geophysics
Author(s): Y. Sun and D. J. Verschuur
Pages: 309-325

2. Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions
Author(s): R. G. Regis
Pages: 326-347

3. Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization
Author(s): M. Li, S. Yang, and X. Liu
Pages: 348-365

4. Data Clustering Using Variants of Rapid Centroid Estimation
Author(s): M. Yuwono, S. W. Su, B. D. Moulton, and H. T. Nguyen
Pages: 366-377

5. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization
Author(s): M. N. Omidvar, X. Li, Y. Mei, and X. Yao
Pages: 378-393

6. Optimal Experiment Design for Coevolutionary Active Learning
Author(s): D. L. Ly and H. Lipson
Pages: 394-404

7. Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
Author(s): A. Bailey, M. Ventresca, and B. Ombuki-Berman
Pages: 405-419

8. On the Landscape of Combinatorial Optimization Problems
Author(s): M.-H. Tayarani-N. and A. Prugel-Bennett
Pages: 420-434

9. Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems
Author(s): Y. Mei, X. Li, and X. Yao
Pages: 435-449

LETTERS

10. Decomposition of a Multiobjective Optimization Problem into a Number of Simple Multiobjective Subproblems
Author(s): H.-L. Liu, F. Gu, and Q. Zhang
Pages: 450-455

11. Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements
Author(s): R. Morgan and M. Gallagher
Pages: 456

IEEE Transactions on Fuzzy Systems, Volume 22, Number 3, June 2014

1. Bandler–Kohout Subproduct With Yager's Classes of Fuzzy Implications
Author(s): S. Mandal and B. Jayaram
Pages: 469-482

2. Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques
Author(s): T. Banerjee, J. M. Keller, M. Skubic, and E. Stone
Pages: 483-493

3. Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults
Author(s): Q. Shen, B. Jiang, P. Shi, and J. Zhao
Pages: 494-504

4. Evaluating R&D Projects as Investments by Using an Overall Ranking From Four New Fuzzy Similarity Measure Based TOPSIS Variants
Author(s): M. Collan and P. Luukka
Pages: 505-515

5. A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making
Author(s): I. Palomares, L. Martınez, and F. Herrera
Pages: 516-530

6. Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory
Author(s): V. G. Kaburlasos and A. Kehagias
Pages: 531-546

7. GENEFIS: Toward an Effective Localist Network
Author(s): M. Pratama, S. G. Anavatti, and E. Lughofer
Pages: 547-562

8. Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics
Author(s): S. Tong, T. Wang, and Y. Li
Pages: 563-574

9. Operators and Comparisons of Hesitant Fuzzy Linguistic Term Sets
Author(s): C. Wei, N. Zhao, and X. Tang
Pages: 575-585

10. Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making
Author(s): C. Gao, Q. Ge, and L. Jian
Pages: 586-596

11. Fuzzy Cognitive Network Process: Comparisons With Fuzzy Analytic Hierarchy Process in New Product Development Strategy
Author(s): K. K. F. Yuen
Pages: 597-610

12. Delayed Output Feedback Control for Nonlinear Systems With Two-Layer Interval Fuzzy Observers
Author(s): W.-S.Yu, M.Karkoub, T.-S. Wu, and M.-G. Her
Pages: 611-630

13. Adaptive Fuzzy Finite-Time Coordination Control for Networked Nonlinear Bilateral Teleoperation System
Author(s): Y. Yang, C. Hua, and X. Guan
Pages: 631-641

14. Fuzzy Boundary Control Design for a Class of Nonlinear Parabolic Distributed Parameter Systems
Author(s): H.-N. Wu, J.-W. Wang, and H.-X. Li
Pages: 642-652

15. Fuzzy Chance-Constrained Multiobjective Portfolio Selection Model
Author(s): M. K. Mehlawat and P. Gupta
Pages: 653-671

16. New Classes of Threshold Aggregation Functions Based Upon the Tsallis q-Exponential With Applications to Perceptual Computing
Author(s): J. T. Rickard and J. Aisbett
Pages: 672-684

17. Centroids of Type-1 and Type-2 Fuzzy Sets When Membership Functions Have Spikes
Author(s): J. Aisbett and J. T. Rickard
Pages: 685-692

SHORT PAPERS

18. Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks
Author(s): C.-M. Lin, Y.-L. Hou, T.-Y. Chen, and K.-H. Chen
Pages: 693-698

19. Nonquadratic H∞ Stabilization Conditions for Observer-Based T–S Fuzzy Control Systems
Author(s): S. H. Kim
Pages: 699


--
http://mike.watts.net.nz

International Neural Network Society Call for Nominations for Senior Member

The International Neural Network Society (INNS) is calling for nominations for Senior Member. The requirements for Senior Member are as follows:

1. A regular or affiliate member of the INNS, who has been an INNS member for at least 5 consecutive years, can be nominated by an INNS member for Senior Member.

2. The nominee must have demonstrated a significant contribution to the theory and/or applications and/or education and promotion of the subject discipline, and this must be stated in the nomination letter.

3. Final confirmation of the 2014 Senior Members will be made by the INNS Board of Governors and appropriate announcements will then be made, at least on the INNS website, www.inns.org, and in the INNS magazine.

4. New Senior Members will receive an updated membership certificate.

For 2014, nomination letters and a CV of the candidate can be sent via e-mail to the INNS VP for Membership, Irwin King at king@cse.cuhk.edu.hk with the subject line: 2014 INNS SM Nomination, by Friday, June 27, 2014.

Reminder: paper submission deadline for SCIS and ISIS 2014

A reminder that the deadline for the jointly-held conferences Soft Computing and Intelligent Systems (SCIS) and International Symposium on Advanced Intelligent Systems (ISIS) 2014 is 30 June, 2014. This conference will be held in Kitakyushu, Japan, December 3-6, 2014.

Call for Papers: Special Issue on “New Trends of Learning in Computational Intelligence”

A special issue of the IEEE Computational Intelligence Magazine (IEEE CIM) will be dedicated to New Trends of Learning in Computational Intelligence. Prospective  uthors are invited to submit their original unpublished research and application contributions. Comprehensive tutorial and survey papers can also be considered for this special issue.

Over the past few decades, conventional computational intelligence techniques faced severe bottlenecks in terms of algorithmic learning. Particularly, in areas of big data computation, brain science, cognition and reasoning, it is almost inevitable that intensive human intervention and time consuming trial and error efforts need to be employed before any meaningful observations can be obtained. The recent development of emerging computational intelligence techniques such as extreme learning machines (ELM) and fast solutions shed some light upon how to effectively deal with these computational bottlenecks.

Based on the observations that increasing correlation can be found among apparently different theories from different fields, as well as the increasing evidence of convergence between computational intelligence techniques and biological learning mechanisms, this special issue seeks to promote novel research investigations in computational intelligence bridging among related areas.

Topics of interest for this special issue include but are not limited to:

• Theoretical foundations and algorithms:
  • Extreme learning machines (ELM), No-Prop algorithms and random kitchen sinks
  • Real-time learning, reasoning and cognition
  • Sequential / incremental learning
  • Clustering and feature extraction / selection
  • Closed form and non-closed form solutions
  • Multiple hidden layers solutions and random networks
  • Parallel and distributed computing / cloud computing
  • Fast implementation of deep learning
• Applications
  • Biologically-inspired natural language processing
  • Big data analytics
  • Cognitive science / computation
  • Autonomous systems

Deadlines

15th August, 2014: Submission of Manuscripts
15th October, 2014: Notification of Review Results
15th November, 2014: Submission of Revised Manuscripts
15th December, 2014: Submission of Final Manuscripts

Publication: May 2015 Issue

Paper Submission

The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via https://www.easychair.org/conferences/conf=ieeecimmay2015.

Guest Editors

Guang-Bin Huang, Nanyang Technological University, egbhuang@ntu.edu.sg
Erik Cambria, MIT Media Laboratory, USA, cambria@media.mit.edu
Kar-Ann Toh, Yonsei University, South Korea, katoh@yonsei.ac.kr
Bernard Widrow, Stanford University, USA, widrow@stanford.edu
Zongben Xu, Xi’an Jiaotong University, China, zbxu@mail.xjtu.edu.cn

Call for Papers: Symposium on "Intelligent Embedded Systems" (IES 2014)

Call for papers for the Symposium on "Intelligent Embedded Systems"  (IES 2014) at IEEE Symposium Series in Computational Intelligence 2014 Orlando, Florida,  December 9 -12, 2014
Web site: http://ies14-ssci.deib.polimi.it/

IMPORTANT DATES

Special Session Proposal: April 15, 2014
Paper submission: June 15, 2014
Author notifications: September 5, 2014
Camera-ready submission: October 5, 2014
Early registration: October 5, 2014
Conference Dates: December 9 - 12, 2014


Intelligent embedded systems, i.e., embedded processing systems with sensors, actuators and computational intelligence -based computing ability, permeate our daily life. This symposium aims at disseminating recent achievements in computational intelligence towards embedded systems highlighting intelligent behaviors.

This symposium aspires at building a bridge between academic and industrial research, as well as among researchers working in different fields, with the specific purpose of designing systems and embedded systems able to adapt and interact with evolving environments.

The symposium will be held within the IEEE Symposium Series in Computational Intelligence (Orlando, Florida,  December 9 -12, 2014) http://ieee-ssci.org/

TOPICS

Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:

• Intelligence for embedded systems
• Computational intelligence for cyber-physical systems
• Intelligent fault diagnosis systems
• Intelligent solutions for Internet of Things
• Intelligent sensor networks
• Intelligent sensors and robotics
• Intelligent measurement systems
• Adaptive solutions to operate in evolving/changing environments
• Intelligent systems for real-world applications

KEYWORDS

Embedded systems, fault-diagnosis systems, intelligent applications, intelligent sensors, intelligent sensor networks, Computational Intelligence,  Internet of Things.

SYMPOSIUM ORGANIZERS

• Cesare Alippi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) cesare.alippi@polimi.it
• Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) giacomo.boracchi@polimi.it
• Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) manuel.roveri@polimi.it

KEYNOTE SPEAKER

Jose C. Principe, Ph.D. Distinguished Professor ECE BellSouth Professor and Director Computational NeuroEngineering Lab, University of Florida.

TECHNICAL PROGRAMME COMMITTEE

• Nikola Kasabov (Auckland University of Technology, New Zealand)
• Huajin Tang (Agency for Science, Technology and Research, A*STAR, Singapore)
• Danil Prokhorov (Toyota Research Institute NA, Michigan, USA )
• Robert Kozma (University of Memphis, Tennessee, USA)
• Joe-Air Jiang (National Taiwan University, Taiwan)
• Rami Abielmona (University of Ottawa, Canada)
• HuanHuan Chen  (University of Science & Technology of China, Hefei, China)
• Harris Papadopoulos (Frederick University, Cyprus)
• Leandro L. Minku (The University of Birmingham, UK)
• Maurizio Bocca (Politecnico di Milano, Italy)
• Daniele Caltabiano (STMicroelectronics, Milano, Italy)

Further information can be found at IES14 webpage http://ies14-ssci.deib.polimi.it/
Please make sure you select Intelligent Embedded Systems as Main Research topic during the submission process

Neural Networks, Volume 55, Pages 1-110, July 2014

Neuroscience
1. Detecting cells using non-negative matrix factorization on calcium imaging data
Pages: 11-19
Author(s): Ryuichi Maruyama, Kazuma Maeda, Hajime Moroda, Ichiro Kato, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

        
Learning Systems
2. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning   
Pages: 30-41
Author(s): Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei
        
3. Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality   
Pages: 59-71
Author(s): Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
        
4. A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction   
Pages: 83-97
Author(s): Mingbo Zhao, Zhao Zhang, Tommy W.S. Chow, Bing Li

        
Mathematical and Computational Analysis
5. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control   
Pages: 1-10
Author(s): Guodong Zhang, Yi Shen

6. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
Pages: 20-29
Author(s): Zheng Yan, Jun Wang, Guocheng Li
        
7. Stability analysis of fractional-order Hopfield neural networks with time delays
Pages: 98-109
Author(s): Hu Wang, Yongguang Yu, Guoguang Wen

        
Engineering and Applications
8. Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features   
Pages: 42-58
Author(s): Rami N. Khushaba, Maen Takruri, Jaime Valls Miro, Sarath Kodagoda
        
9. Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition   
Pages: 72-82
Author(s): Gonzalo Carvajal, Miguel Figueroa

Neural networks new articles 19-25 May, 2014

1. Comparing fixed and variable-width gaussian networks
Author(s): Věra Kůrková, Paul C. Kainen

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 6, June 2014

1. A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
Author(s): Alippi, C. ; Roveri, M. ; Trova, F.
Pages: 1021-1032

2. A Simple Scheme for Formation Control Based on Weighted Behavior Learning
Author(s): Lin, J. ; Hwang, K. ; Wang, Y.
Pages: 1033-1044

3. New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
Author(s): Arik, S.
Pages: 1045-1052

4. A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series
Author(s): Blanchart, P. ; Depecker, M.
Pages: 1053-1070

5. Local Coordinate Concept Factorization for Image Representation
Author(s): Liu, H. ; Yang, Z. ; Yang, J. ; Wu, Z. ; Li, X.
Pages: 1071-1082

6. Global and Local Structure Preservation for Feature Selection
Author(s): Liu, X. ; Wang, L. ; Zhang, J. ; Yin, J. ; Liu, H.
Pages: 1083-1095

7. A Load-Balancing Self-Organizing Incremental Neural Network
Author(s): Zhang, H. ; Xiao, X. ; Hasegawa, O.
Pages: 1096-1105

8. Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming
Author(s): Heydari, A. ; Balakrishnan, S.N.
Pages: 1106-1117

9. Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM
Author(s): Laporte, L. ; Flamary, R. ; Canu, S. ; Dejean, S. ; Mothe, J.
Pages: 1118-1130

10. Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition
Author(s): Yuan, Y. ; Sun, Q.
Pages: 1131-1146

11. Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk
Author(s): Rolf, M. ; Steil, J.J.
Pages: 1147-1160

12. Novel LMI-Based Condition on Global Asymptotic Stability for a Class of Cohen–Grossberg BAM Networks With Extended Activation Functions
Author(s): Zhang, Z. ; Cao, J. ; Zhou, D.
Pages: 1161-1172

13. Semisupervised Classification Through the Bag-of-Paths Group Betweenness
Author(s): Lebichot, B. ; Kivimaki, I. ; Francoisse, K. ; Saerens, M.
Pages: 1173-1186

14. Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning
Author(s): Chen, T. ; Wang, C. ; Hill, D.J.
Pages: 1187-1199

15. Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization
Author(s): Dong, W. ; Zhou, M.
Pages: 1200-1216

16. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
Author(s): Chen, C.L.P. ; Wen, G. ; Liu, Y. ; Wang, F.
Pages: 1217-1127

Paper submission deadline: IJCNN 2015

The paper submission deadline for the International Joint Conference on Neural Networks (IJCNN) 2015 is January 15, 2015. This conference will be held in Killarney, Ireland, July 12-17, 2015.

Neural Networks new articles 12-18 May, 2014

1. A wavelet-based method for extracting intermittent discontinuities observed in human motor behavior
Author(s): Yasuyuki Inoue, Yutaka Sakaguchi
   
2. Immediate return preference emerged from a synaptic learning rule for return maximization
Author(s): Yoshiya Yamaguchi, Takeshi Aihara, Yutaka Sakai
   
3. Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions
Author(s): Lian Duan, Lihong Huang
  
4. Discrete particle swarm optimization for identifying community structures in signed social networks
Author(s): Qing Cai, Maoguo Gong, Bo Shen, Lijia Ma, Licheng Jiao
   
5. Noise model based image -support vector regression with its application to short-term wind speed forecasting
Author(s): Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi, Jie Wan
   
6. Grid topologies for the self-organizing map
Author(s): Ezequiel López-Rubio, Antonio Díaz Ramos

Reminder: paper submission deadline for IEEE CISDA 2014

A reminder that the deadline for submitting papers to the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2014 is June 15, 2014. This conference will be held in Hanoi, Vietnam, 14-17 December, 2014.

Reminder: paper submission deadline for IEEE SSCI 2014

A reminder that the deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (SSCI) 2014 is 15 June 2014. This group of symposia will be held in Orlando, Florida, 9-12 December, 2014.

Reminder: conference paper deadline for ICAPR 2015

A reminder that the deadline for submitting papers to the Eighth International Conference on Advances in Pattern Recognition (ICAPR) 2015 is June 15, 2014. This conference will be held in Kolkata, India, January 4-7 2015.

Neural Networks new articles 5 - 11 May, 2014

1. Incorporating conditional random fields and active learning to improve sentiment identification  
Author(s): Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok Choudhary

Neural Networks new articles 29 April - 5 May

1. Ideal regularization for learning kernels from labels  
Author(s): Binbin Pan, Jianhuang Lai, Lixin Shen
    
2. Synaptic dynamics: Linear model and adaptation algorithm  
Author(s): Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger

Call for Papers: IEEE SSCI 2014

Welcome to the sunshine of Orlando, Florida for the IEEE SSCI 2014, a flagship international conference sponsored by the IEEE Computational Intelligence Society (CIS) promoting all aspects of Computational Intelligence (CI). The IEEE SSCI 2014 co-locates multiple exciting symposiums at one single location, providing a unique opportunity to encourage cross-fertilization and collaborations in all areas of CI. The IEEE SSCI 2014 features a large number of keynotes, tutorials, and special sessions. The IEEE SSCI 2014 will also offer a number of travel grants as well as an exciting Doctoral Consortium.

We hope you could participate this exciting event, and look forward to seeing you in Orlando in December 2014!

Important dates

Paper submission:          June 15, 2014
Notification to authors:   September 5, 2014
Final submission:            October 5, 2014
Early registration:           October 5, 2014
Website:                        www.ieee-ssci.org

For paper submissions, please go to the conference website: www.ieee-ssci.org and click the "Paper Submission" from the left panel, or directly go to the paper submission link at: ieee-cis.org/conferences/ssci2014/upload.php

IEEE SSCI 2014 features the following Symposia:

• ADPRL'14:     IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Huaguang Zhang, China, Jagannathan Sarangapani, USA, Lucian Busoniu, Romania.

• CCMB'14:      IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Leonid Perlovsky, USA, Jose F Fontanari, Brazil, Angelo Cangelosi, UK, Daniel Levine, USA, Robert Kozma, USA

• CIASG'14:     IEEE Symposium on Computational Intelligence Applications in Smart Grid, G. Kumar Venayagamoorthy, USA, Jung-Wook Park, Korea.

• CIBCI'14:     IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, Damien Coyle, UK, Robert Kozma, USA, Kai Keng Ang, Singapore.

• CIBD'14:      IEEE Symposium on Computational Intelligence in Big Data, Yaochu Jin, UK, Yonghong Peng, UK, Nitesh Chawla, USA, Marios Polycarpou, Cyprus.

• CIBIM'14:     IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Qinghan Xiao, Canada, David Zhang, China, Fabio Scotti, Italy

• CICA'14,      IEEE Symposium on Computational Intelligence in Control and Automation, Xiao-Jun Zeng, UK.

• CICARE'14,    IEEE Symposium on Computational Intelligence in healthcare and e-health, Amir Hussain, UK, Jonathan Wu, Canada.

• CIComms'14,   IEEE Symposium on Computational Intelligence for Communication Systems and Networks, Sergey Andreev, Finland, Raymond Carroll, Ireland, Maode Ma, Singapore, Paolo Rocca, Italy.

• CICS'14,      IEEE Symposium on Computational Intelligence in Cyber Security, Dipankar Dasgupta, USA

• CIDM'14,      IEEE Symposium on Computational Intelligence and Data Mining, Zhi-Hua Zhou, China, Barbara Hammer, Germany, Carlotta Domeniconi, USA.

• CIDUE'14,     IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Yaochu Jin, UK, Robi Polikar, USA, Shengxiang Yang, UK

• CIEL'14,      IEEE Symposium on Computational Intelligence in Ensemble Learning, Nikhil R. Pal, India, P. N. Suganthan, Singapore, Xin Yao, UK, Wenjia Wang, UK.

• CIES'14,      IEEE Symposium on Computational Intelligence for Engineering Solutions, Michael Beer, UK, Rudolf Kruse, Germany, Vladik Kreinovich, USA.

• CIHLI'14,     IEEE Symposium on Computational Intelligence for Human-like Intelligence, Jacek Mandziuk, Poland, Wlodzislaw Duch, Poland, Janusz A. Starzyk, USA.

• CIMSIVP'14,   IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, Khan M Iftekharuddin, USA, Salim Bouzerdoum,Australia.

• CIPLS'14,     IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Bülent Çatay, Turkey, Raymond Chiong, Australia, Patrick Siarry, France.

• CIVTS'14,     IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Dipti Srinivasan, Singapore, Justin Dauwels, Singapore, Ana Bazzan, Brazil

• EALS'14,      IEEE Symposium on Evolving and Autonomous Learning Systems, Plamen Angelov, U.K., Dimitar Filev, USA, Nikola Kasabov, New Zealand.

• FOCI'14,      IEEE Symposium on Foundations of Computational Intelligence, Manuel Ojeda-Aciego, Spain, Leonardo Franco, Spain, Carlos Cotta, Spain.

• IA'14,        IEEE Symposium on Intelligent Agents, Hani Hagras, UK, Vincenzo Loia, Italy.

• IES'14,       IEEE Symposium on Intelligent Embedded Systems, Cesare Alippi, Italy, Giacomo Boracchi, Italy, Manuel Roveri, Italy.

• ICES'14,      IEEE International Conference on Evolvable Systems, Andrew Tyrrell, UK, Martin Trefzer, UK.

• ISIC'14,      IEEE International Symposium on Independent Computing, Robert Kozma, USA, Qingfu Zhao, Japan, Cheng-Hsiung Hsieh, Taiwan, Neil Y. Yen, Japan.

• CIR2AT'14,    IEEE Symposium on Computational Intelligence in Robotic Rehabilitation and Assistive Technologies, Gui DeSouza, USA, James Patton, USA, Georgios Kouroupetroglou, Greece

• MC'14,        IEEE Workshop on Memetic Computing, Giovanni Iacca, Netherlands, Fabio Caraffini, UK, Ferrante Neri, UK

• MCDM'14,      IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, Yaochu Jin, UK, Piero Bonissone, USA, Juergen Branke, UK

• RiiSS'14,     IEEE Symposium on Robotic Intelligence in Informationally Structured Space, Janos Botzheim, Japan, Chu Kiong  Loo, Malaysia.

• SDE'14,       IEEE Symposium on Differential Evolution, Janez Brest, Slovenia, Swagatam Das, India, Ferrante Neri, UK

• SIS'14,       IEEE Symposium on Swarm Intelligence, Yuhui Shi, China, P. N. Suganthan, Singapore.

General Chair:            Haibo He, USA
General Program Chair:    Cesare Alippi, Italy

Neural Networks new articles 21-27 April 2014

1. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Author(s): Mathieu N. Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

Conference submission deadline: SEAL 2014

The deadline for submitting papers to the 10th International Conference on Simulated Evolution and Learning (SEAL) 2014 is 14 July, 2014. This conference will be held in Dunedin, New Zealand, 15-18 December, 2014.