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.

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 5, May 2014

1. Classification in the Presence of Label Noise: A Survey
Author(s): Benoit Frenay and Michel Verleysen
Pages: 845 - 869

2. Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
Author(s): Alexander Bauer; Nico Gornitz; Franziska Biegler; Klaus-Robert Muller; Marius Kloft
Pages: 870 - 881

3. Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems
Author(s): Yu Jiang; Zhong-Ping Jiang
Pages: 882 - 893

4. A Spiking Self-Organizing Map Combining STDP, Oscillations, and Continuous Learning
Author(s): Timothy Rumbell; Susan L. Denham; Thomas Wennekers
Pages: 894 - 907

5. An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance
Author(s): Hasan Ferdowsi; Sarangapani Jagannathan; Maciej Zawodniok
Pages: 908 - 919

6. Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems
Author(s): Chunlin Chen; Daoyi Dong; Han-Xiong Li; Jian Chu; Tzyh-Jong Tarn
Pages: 920 - 933

7. On the Impact of Approximate Computation in an Analog DeSTIN Architecture
Author(s): Steven Young; Junjie Lu; Jeremy Holleman; Itamar Arel
Pages: 934 - 946

8. Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Author(s): Huanqing Wang; Bing Chen; Kefu Liu; Xiaoping Liu; Chong Lin
Pages: 947 - 958

9. Simplified Interval Type-2 Fuzzy Neural Networks
Author(s): Yang-Yin Lin; Shih-Hui Liao; Jyh-Yeong Chang; Chin-Teng Lin
Pages: 959 - 969

10. Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
Author(s): Botla Ganesh; Vadlagattu Varun Kumar; Kalipatnapu Yamuna Rani
Pages: 970 - 979

11. Storing Sparse Messages in Networks of Neural Cliques
Author(s): Behrooz Kamary Aliabadi; Claude Berrou; Vincent Gripon; Xiaoran Jiang
Pages: 980 - 989

12. Incipient Interturn Fault Diagnosis in Induction Machines Using an Analytic Wavelet-Based Optimized Bayesian Inference
Author(s): Jeevanand Seshadrinath; Bhim Singh; Bijaya Ketan Panigrahi
Pages: 990 - 1001

13. A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting
Author(s): Sakrapee Paisitkriangkrai; Chunhua Shen; Anton van den Hengel
Pages: 1002 - 1013

14. Data-Driven MFAC for a Class of Discrete-Time Nonlinear Systems With RBFNN
Author(s): Yuanming Zhu; Zhongsheng Hou
Pages: 1013 - 1020

Conference paper deadline: ICAPR 2015

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 Volume 54, Pages 1-122, June 2014

Neural Networks Letters

1. Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations  
Author(s): Tobias Brosch, Heiko Neumann
Pages: 11-16
 

Learning Systems

2. Learning invariant object recognition from temporal correlation in a hierarchical network  
Author(s): Markus Lessmann, Rolf P. Würtz
Pages: 70-84
   
3. Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes 
Author(s): Yuri Quintana-Pacheco, Daniel Ruiz-Fernández, Agustín Magrans-Rico
Pages: 95-102
   

Mathematical and Computational Analysis

4. An improved robust stability result for uncertain neural networks with multiple time delays 
Author(s): Sabri Arik
Pages: 1-10
   
5. Solving the linear interval tolerance problem for weight initialization of neural networks 
Author(s): S.P. Adam, D.A. Karras, G.D. Magoulas, M.N. Vrahatis
Pages: 17-37
   
6. Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube 
Author(s): Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni
Pages: 38-48

7. Stable locality sensitive discriminant analysis for image recognition 
Author(s): Quanxue Gao, Jingjing Liu, Kai Cui, Hailin Zhang, Xiaogang Wang
Pages: 49-56

8. Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach 
Author(s): Xian-Ming Zhang, Qing-Long Han
Pages: 57-69

9. Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach 
Author(s): Chaojie Li, Wenwu Yu, Tingwen Huang
Pages: 85-94

10. New criterion of asymptotic stability for delay systems with time-varying structures and delays 
Author(s): Bo Liu, Wenlian Lu, Tianping Chen
Pages: 103-111

11. A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria 
Author(s): Zhenyuan Guo, Jun Wang, Zheng Yan
Pages: 112-122

Neural Networks new articles 15 April - 21 April

1. Stability analysis of fractional-order Hopfield neural networks with time delays
Author(s): Hu Wang, Yongguang Yu, Guoguang Wen
   
2. A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction
Author(s): Mingbo Zhao, Zhao Zhang, Tommy W.S. Chow, Bing Li

Conference paper deadline: IEEE CISDA 2014

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.

Conference paper deadline: SCIS and ISIS 2014

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.

Conference paper deadline: UKCI 2014

The deadline for submitting papers to the UK Workshop on Computational Intelligence (UKCI) 2014 is 19 May 2014. This conference will be held in Bradford, UK, 8-10 September, 2014.

Call for Papers: Special Issue on Real-Time Strategy Games IEEE TCIAIG

Special issue editors: Michael Buro, Santiago Ontañón and Mike Preuss

In recent years game AI for real-time strategy (RTS) games has become an active research area. Producing AI players (bots) which are able to consistently beat even average human players (without cheating) in these games has risen as a real challenge. Thus, in RTS games, player satisfaction cannot simply be achieved by “downgrading” the AI, as is possible in man other game genres. In consequence, stronger AI players make the game more interesting.

Recent RTS AI (e.g. StarCraft) tournaments have stimulated the creation of new bots with new concepts and architectures and led to a greatly increased number of publications addressing some of the many open AI problems in RTS games. For example, RTS game aspects such as resource management, scouting, real-time strategic and tactical planning, and others, call for the application of innovative CI/AI methods. This special issue welcomes high-quality work in the area of real-time strategy games. Topics include but are not limited to:

• Adversarial real-time planning in RTS games
• Bot reactiveness: learning and adaptation in RTS bots
• Build order optimization and its relation to strategies and the metagame
• Scouting and uncertainty management in RTS games
• Path-finding and group movement
• Combat simulation and AI for micro-management
• Opponent modeling, especially strategy prediction
• Complexity measurements for RTS games
• Communication and cooperation with and within RTS bots
• New forms of interaction with the player
• AI adaptations for more satisfying play experience
• Difficulty adaptation, ability-based matching, ladders, and tournaments
• Automated level/unit/map design for RTS games
• Multiplayer online battle arena (MOBA) games: the next generation of real-time strategy?

Authors should follow normal T-CIAIG guidelines for their submissions, but clearly identify their papers for this special issue during the submission process. See http://csee.essex.ac.uk/tciaig/authors.html for author information. Extended versions of previously published conference/workshop papers are welcome providing the journal paper is a significant extension of the conference paper, and is accompanied by a covering letter explaining the additional contribution.

Deadline for submissions: July 1, 2014 Final copy due: February 1, 2015
Notification of Acceptance: November 1, 2014 Publication: June 2015

Reminder: paper submission deadline for KES 2014

A reminder that the deadline for submitting papers to the 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2014 is 15 March, 2014. This conference will be held in Gdynia, Poland, 15-17 September, 2014.

IEEE Computational Intelligence Magazine Volume 9 Issue 2 May 2014

1. What Is Your Main IEEE Society? [Editor's Remarks]
Author(s): Ishibuchi, H.

2. President's Greeting [President's Message]
Author(s): Yao, X.

3. CIS Society Officers

4. Newly Elected CIS Administrative Committee Members (2014-2016) [Society Briefs]
Author(s): Yao, X.

5. IEEE Fellows - Class of 2014 [Society Briefs]
Author(s): Bezdek, J.

6. A Report on the CIS Second Video Competition [Society Briefs]
Author(s): Matthews, S. ; Abdool, A. ; Eliades, D. ; Coyle, D. ; Posada, J. ; Martin, E. ; Sperduti, A. ; Alippi, C. ; Estevez, P.

7. CIS Publication Spotlight
Author(s): Liu, D. ; Lin, C. ; Greenwood, G. ; Lucas, S. ; Zhang, Z.

8. Special Issue on Computational Intelligence for Community-Centric Systems [Guest Editorial]
Author(s): Kubota, N. ; Liu, H.

9. Context-Aware Personal Information Retrieval From Multiple Social Networks
Author(s): Han, X. ; Wei, W. ; Miao, C. ; Mei, J. ; Song, H.

10. Landmark-Based Methods for Temporal Alignment of Human Motions
Author(s): de Dios, P. ; Chung, P. ; Meng, Q.

11. Muscle Fatigue Tracking with Evoked EMG via Recurrent Neural Network: Toward Personalized Neuroprosthetics
Author(s): Li, Z. ; Hayashibe, M. ; Fattal, C. ; Guiraud, D.

12. Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]
Author(s): Cambria, E. ; White, B.

13. A Memetic Algorithm for Resource Allocation Problem Based on Node-Weighted Graphs [Application Notes]
Author(s): Wu, J. ; Chang, Z. ; Yuan, L. ; Hou, Y. ; Gong, M.

14. Conference Calendar
Author(s): Haddow, P.

15. Call for Papers for Journal Special Issues

16. CEC 2015

Neural Networks new articles 31 March - 6 April

1. Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition  
Author(s): Gonzalo Carvajal, Miguel Figueroa

Call for Special Session Proposals for IEEE SSCI 2014

The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) invites Special Session proposals for our December 9 - 12, 2014 conference in Orlando, Florida, USA. Special session proposals can be for any of the symposium under the IEEE SSCI 2014 umbrella. Special Session proposals should include the following:

• A brief description, rationale or motivation of the proposed session
• The title of the proposed special session, and the specific symposium under which the special session should be listed
• List of topics and the scope
• A list of authors who have already been invited to participate (if any)
• Short bio information of the SS organizers

Please submit the SS proposals to the corresponding Symposium Chairs (Symposium Chairs can approve their SS directly, see list of Symposia at http://www.ieee-ssci.org/glance.html), or to the SSCI 2014 Special Session Chair, Robi Polikar at polikar@rowan.edu, with a copy to Haibo He at he@ele.uri.edu. More details can be found at http://www.ieee-ssci.org.

The deadline for special session proposals is April 15, 2014.

IEEE TNLS Call for Papers: 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 Aug 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