Computational Intelligence

Friday, July 25, 2014

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

Tuesday, July 22, 2014

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

Read the information for authors at http://cis.ieee.org/tnnls
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

Sunday, June 22, 2014

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

Friday, June 13, 2014

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.

Thursday, June 5, 2014

Friday, May 30, 2014

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.

Wednesday, May 28, 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

Tuesday, May 27, 2014

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

Monday, May 26, 2014

Neural networks new articles 19-25 May, 2014

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

Wednesday, May 21, 2014

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

Tuesday, May 20, 2014

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.

Monday, May 19, 2014

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

Friday, May 16, 2014

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.

Thursday, May 15, 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.

Wednesday, May 14, 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.

Monday, May 12, 2014

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

Wednesday, May 7, 2014

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

Monday, May 5, 2014

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

Tuesday, April 29, 2014

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

Monday, April 28, 2014

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.

Friday, April 25, 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

Thursday, April 24, 2014

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.

Wednesday, April 23, 2014

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

Tuesday, April 22, 2014

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

Monday, April 21, 2014

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.

Friday, April 18, 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.

Thursday, April 17, 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.

Wednesday, April 16, 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

Tuesday, April 15, 2014

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.

Monday, April 14, 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

Tuesday, April 8, 2014

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

Monday, April 7, 2014

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.

Thursday, April 3, 2014

IEEE TNLS Call for Papers: Special issue on "Neurodynamic Systems for Optimization and Applications"

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

Wednesday, April 2, 2014

Neural Networks Volume 53, pages 1-172, May 2014

Neural Networks Letters

1. Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances
Author(s): Weiwei Luo, Kai Zhong, Song Zhu, Yi Shen
Pages: 127-133

2. Fastest strategy to achieve given number of neuronal firing in theta model
Author(s): Jiaoyan Wang, Qingyun Wang, Guanrong Chen
Pages: 134-145

3. Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays
Author(s): Jinde Cao, Ying Wan
Pages: 165-172

Learning Systems

4. Cross-person activity recognition using reduced kernel extreme learning machine
Author(s): Wan-Yu Deng, Qing-Hua Zheng, Zhong-Min Wang
Pages: 1-7

5. Robust head pose estimation via supervised manifold learning
Author(s): Chao Wang, Xubo Song
Pages: 15-25

6. Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing
Author(s): Chihiro Obayashi, Tomoya Tamei, Tomohiro Shibata
Pages: 52-60

7. Kernel learning at the first level of inference
Author(s): Gavin C. Cawley, Nicola L.C. Talbot
Pages: 69-80

8. Similarity preserving low-rank representation for enhanced data representation and effective subspace learning
Author(s): Zhao Zhang, Shuicheng Yan, Mingbo Zhao
Pages: 81-94

9. Learning using privileged information: SVM+ and weighted SVM
Author(s): Maksim Lapin, Matthias Hein, Bernt Schiele
Pages: 95-108

10. Safe semi-supervised learning based on weighted likelihood
Author(s): Masanori Kawakita, Jun’ichi Takeuchi
Pages: 146-164

Mathematical and Computational Analysis

11. Synchronization control of memristor-based recurrent neural networks with perturbations
Author(s): Weiping Wang, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang
Pages: 8-14

12. Effects of asymmetric coupling and self-coupling on metastable dynamical transient rotating waves in a ring of sigmoidal neurons
Author(s): Yo Horikawa
Pages: 26-39

13. Generalization performance of Gaussian kernels SVMC based on Markov sampling
Author(s): Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
Pages: 40-51

14. Convergence behavior of delayed discrete cellular neural network without periodic coefficients
Author(s): Jinling Wang, Haijun Jiang, Cheng Hu, Tianlong Ma
Pages: 61-68

15. Multiple image mu-stability of neural networks with unbounded time-varying delays
Author(s): Lili Wang, Tianping Chen
Pages: 109-118

16. Extreme learning machine for ranking: Generalization analysis and applications
Author(s): Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan
Pages: 119-126

Tuesday, April 1, 2014

Neural Networks new articles 24-30 March

1. Toward limb position invariant myoelectric pattern recognition using time-dependent spectral features
Author(s): Rami N. Khushaba, Maen Takruri, Jaime Valls Miro, Sarath Kodagoda

2. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
Author(s): Zheng Yan, Jun Wang, Guocheng Li

3. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control
Author(s): Guodong Zhang, Yi Shen

4. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning
Author(s): Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei

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

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

Monday, March 31, 2014

IEEE Transactions on Evolutionary Computation Volume 18, Number 2, April 2014

PAPERS

1. Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems
Author(s): M. A. Lones, L. A. Fuente, A. P. Turner, L. S. D. Caves, S. Stepney, S. L. Smith, and A. M. Tyrrell
Pages: 145-166

2. Multi-Objective Optimization by Using Evolutionary Algorithms: The p-Optimality Criteria
Author(s): E. Carre ̃no Jara
Pages: 167-179

3. A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems
Author(s): B. Liu, Q. Zhang, and G. G. E. Gielen
Pages: 180-192

4. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming
Author(s): S. Nguyen, M. Zhang, M. Johnston, and K. Chen Tan
Pages: 193-208

5. An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production
Author(s): L. Tang, Y. Zhao, and J. Liu
Pages: 209-225

6. Frequency Fitness Assignment
Author(s): T. Weise, M. Wan, P. Wang, K. Tang, A. Devert, and X. Yao
Pages: 226-243

7. Localization of License Plate Number Using Dynamic Image Processing Techniques and Genetic Algorithms
Author(s): G. Abo Samra and F. Khalefah
Pages: 244-257

8. Comparison Study of Swarm Intelligence Techniques for the Annual Crop Planning Problem
Author(s): S. Chetty and A. O. Adewumi
Pages: 258-268

9. Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
Author(s): Z. He, G. G. Yen, and J. Zhang
Pages: 269-287

10. A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem
Author(s): J. Ceberio, E. Irurozki, A. Mendiburu, and J. A. Lozano
Pages: 286-300

LETTER

11. A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems
Author(s): M. K. Marichelvam, T. Prabaharan, and X. S. Yang
Pages: 301

Friday, March 28, 2014

IEEE Transactions on Fuzzy Systems Volume 22, Number 2, April 2014

REGULAR PAPERS

1. Fuzzy Approximation-Based Adaptive Control of Nonlinear Delayed Systems With Unknown Dead Zone
Author(s): B.Chen,X.Liu,K.Liu,and C.Lin
Pages: 237-248

2. Output Feedback Predictive Control With One Free Control Move for Nonlinear Systems Represented by a Takagi–Sugeno Model
Author(s): B.Ding and X.Ping
Pages: 249-263

3. Individual Decision Making Can Drive Epidemics: A Fuzzy Cognitive Map Study
Author(s): S. Mei, Y. Zhu, X. Qiu, X. Zhou, Z. Zu, A. V. Boukhanovsky, and P. M. A. Sloot
Pages: 264-273

4. Adaptive Fault Diagnosis for T–S Fuzzy Systems With Sensor Faults and System Performance Analysis
Author(s): Q.Shen, B.Jiang, and P.Shi
Pages: 274-285

5. Adaptive Fuzzy Hierarchical Sliding-Mode Control for the Trajectory Tracking of Uncertain Underactuated Nonlinear Dynamic Systems
Author(s): C.-L.Hwang, C.-C.Chiang, and Y.-W.Yeh
Pages: 286-299

6. Atanassov’s Intuitionistic Fuzzy Programming Method for Heterogeneous Multiattribute Group Decision Making With Atanassov’s Intuitionistic Fuzzy Truth Degrees
Author(s): S.-P. Wan and D.-F. Li
Pages: 300-312

7. Novel Stability Criteria for T–S Fuzzy Systems
Author(s): X. Zhao, L. Zhang, P. Shi, and H. R. Karimi
Pages: 313-323

8. A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems
Author(s): W.-Y. Cheng and C.-F. Juang
Pages: 324-337

9. Adaptive Fuzzy Observer-Based Active Fault-Tolerant Dynamic Surface Control for a Class of Nonlinear Systems With Actuator Faults
Author(s): Q.Shen, B.Jiang, and V.Cocquempot
Pages: 338-349

10. Universal Fuzzy Integral Sliding-Mode Controllers Based on T–S Fuzzy Models
Author(s): Q. Gao, L. Liu, G. Feng, Y. Wang, and J. Qiu
Pages: 350-362

11. What and When Can We Gain From the Kernel Versions of C-Means Algorithm?
Author(s): N. R. Pal and K. Sarkar
Pages: 363-379

12. Dissipativity Analysis and Synthesis for Discrete-Time T–S Fuzzy Stochastic Systems With Time-Varying Delay
Author(s): L.Wu, X.Yang, and H.-K.Lam
Pages: 380-394

13. Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions
Author(s): E.Ramasso and T.Denoeux
Pages: 395-405

14. Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach
Author(s): G.B.Koo, J.B.Park, and Y.H.Joo
Pages: 406-419

15. L_p Consonant Approximations of Belief Functions
Author(s): F. Cuzzolin
Pages: 420-436

16. Adaptive Fuzzy Control for Multilateral Cooperative Teleoperation of Multiple Robotic Manipulators Under Random Network-Induced Delays
Author(s): Z. Li, Y. Xia, and F. Sun
Pages: 437-450

SHORT PAPERS

17. TSK Observers for Discrete Type-1 and Type-2 FuzzySystems
Author(s): M. S. Fadali and S. Jafarzadeh
Pages: 451-458

18. Robust H∞ Control of TS Fuzzy Time-Delay Systems via a New Sliding-Mode Control Scheme
Author(s): Q.Gao, G.Feng, Z.Xi, Y.Wang, and J.Qiu
Pages: 459-464

19. Toward Necessity of Parametric Conditions for Monotonic Fuzzy Systems
Author(s): J.-M. Won and F. Karray
Pages: 465-470

Thursday, March 27, 2014

Conference paper deadline: CEC 2015

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.

Wednesday, March 26, 2014

Conference paper deadline: PRICAI 2014

The deadline for submitting papers to the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2014 is June 29, 2014. This conference will be held in the Gold Coast, Australia, 1-5 December, 2014.

Tuesday, March 25, 2014

Neural Networks new articles 17 March - 24 March

1. Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality
Author(s): Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega

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

3. 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

Monday, March 24, 2014

Conference paper deadline: ICONIP 2014

The deadline for submitting papers to the 21st International Conference on Neural Information Processing (ICONIP) 2014 is May 2, 2014. This conference will be held in Kuching, Malaysia, 3-6 November, 2014.

Friday, July 25, 2014

Tuesday, July 22, 2014

IMPORTANT DATES

SUBMISSION INSTRUCTIONS

GUEST EDITORS

Sunday, June 22, 2014

Friday, June 13, 2014

Thursday, June 5, 2014

LETTERS

SHORT PAPERS

Friday, May 30, 2014

Wednesday, May 28, 2014

Deadlines

Paper Submission

Guest Editors

Tuesday, May 27, 2014

IMPORTANT DATES

TOPICS

KEYWORDS

SYMPOSIUM ORGANIZERS

KEYNOTE SPEAKER

TECHNICAL PROGRAMME COMMITTEE

Monday, May 26, 2014

Wednesday, May 21, 2014

Tuesday, May 20, 2014

Monday, May 19, 2014

Friday, May 16, 2014

Thursday, May 15, 2014

Wednesday, May 14, 2014

Monday, May 12, 2014

Wednesday, May 7, 2014

Monday, May 5, 2014

Important dates

Tuesday, April 29, 2014

Monday, April 28, 2014

Friday, April 25, 2014

Thursday, April 24, 2014

Wednesday, April 23, 2014

Neural Networks Letters

Learning Systems

Mathematical and Computational Analysis

Tuesday, April 22, 2014

Monday, April 21, 2014

Friday, April 18, 2014

Thursday, April 17, 2014

Wednesday, April 16, 2014

Tuesday, April 15, 2014

Monday, April 14, 2014

Tuesday, April 8, 2014

Monday, April 7, 2014

Thursday, April 3, 2014

IMPORTANT DATES

SUBMISSION INSTRUCTIONS

GUEST EDITORS

Wednesday, April 2, 2014

Neural Networks Letters

Learning Systems

Mathematical and Computational Analysis

Tuesday, April 1, 2014

Monday, March 31, 2014

PAPERS

LETTER

Friday, March 28, 2014

REGULAR PAPERS

SHORT PAPERS

Thursday, March 27, 2014

Wednesday, March 26, 2014

Tuesday, March 25, 2014

Monday, March 24, 2014

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