Neural Networks, Volume 71, Pages 1-224, November 2015

1. Towards dropout training for convolutional neural networks  
Pages 1-10
Author(s): Haibing Wu, Xiaodong Gu

2. Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction  
Pages 11-26
Author(s): Yiqian Cui, Junyou Shi, Zili Wang

3. Multistability of memristive Cohen–Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays  
Pages 27-36
Author(s): Xiaobing Nie, Wei Xing Zheng, Jinde Cao

4. Stability and synchronization of memristor-based fractional-order delayed neural networks  
Pages 37-44
Author(s): Liping Chen, Ranchao Wu, Jinde Cao, Jia-Bao Liu

5. A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning  
Pages 45-54
Author(s): Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang, Nick Hughes

6. Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching  
Pages 55-61
Author(s): Guodong Zhang, Yi Shen

7. Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis  
Pages 62-75
Author(s): Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li

8. OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training  
Pages 76-87
Author(s): Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini

9. Incremental multi-class semi-supervised clustering regularized by Kalman filtering  
Pages 88-104
Author(s): Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A.K. Suykens

10. Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control  
Pages 105-111
Author(s): Wei Zhang, Chuandong Li, Tingwen Huang, Mingqing Xiao

11. A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task  
Pages 112-123
Author(s): Sareh Zendehrouh

12. Long-range cortical connections give rise to a robust velocity map of V1  
Pages 124-141
Author(s): Phillip Sheridan

13. Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification  
Pages 142-149
Author(s): Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macaš, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar

14. Reinforcement learning solution for HJB equation arising in constrained optimal control problem  
Pages 150-158
Author(s): Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

15. Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality  
Pages 159-171
Author(s): Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo

16. Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement  
Pages 172-181
Author(s): Soheil Ganjefar, Morteza Tofighi, Hamidreza Karami

17. Investigation on Amari’s dynamical neural field with global constant inhibition  
Pages 182-195
Author(s): Dequan Jin, Jigen Peng

18. Consensus analysis of networks with time-varying topology and event-triggered diffusions  
Pages 196-203
Author(s): Yujuan Han, Wenlian Lu, Tianping Chen

19. Prediction of telephone calls load using Echo State Network with exogenous variables  
Pages 204-213
Author(s): Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian

20. Budget constrained non-monotonic feature selection  
Pages 214-224
Author(s): Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King

Weekly Review 5 December 2015

Some interesting links that I Tweeted about this week:

• Piece in the NZ Herald about NeuLab at KEDRI, http://www.nzherald.co.nz/technology/news/article.cfm?c_id=5&objectid=11554230
• Alleged exam cheat goes to extremes to cover up her deeds at Otago Uni: http://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=11553961 
• Using deep neural networks for art forgery: http://www.kdnuggets.com/2015/12/deep-learning-art-forgery.html
• Ten free machine learning books. Most have PDF versions to download. http://www.datasciencecentral.com/profiles/blogs/10-free-machine-learning-books
• Interactive visualisation of basic backpropagation trained MLP http://mwskirpan.com/NN_viz/
• 4 data processing and mining tools from Google http://www.datasciencecentral.com/profiles/blogs/4-open-source-cloud-machine-learning-data-analytics-visualization
• Machine learning in JavaScript http://www.datasciencecentral.com/profiles/blogs/machine-learning-in-javascript-a-compilation-of-resources … Should I include JavaScript output in my SECoS compiler? http://ecos.watts.net.nz/Software/SECoSTools.html
• 11 applications of machine learning: http://www.informationweek.com/strategic-cio/executive-insights-and-innovation/11-cool-ways-to-use-machine-learning/d/d-id/1323375

IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Issue 12, December 2015

1. H_{\infty } State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements
Author(s): Meiqin Liu; Haiyang Chen
Page(s): 2987 - 2998

2. Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses
Author(s): Yu Nishitani; Yukihiro Kaneko; Michihito Ueda
Page(s): 2999 - 3008

3. Robust Blind Learning Algorithm for Nonlinear Equalization Using Input Decision Information
Author(s): Lu Xu; Defeng (David) Huang; Yingjie Jay Guo
Page(s): 3009 - 3020

4. A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Author(s): Hideaki Hayashi; Taro Shibanoki; Keisuke Shima; Yuichi Kurita; Toshio Tsuji
Page(s): 3021 - 3033

5. Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set
Author(s): Xiao-Yu Zhang; Shupeng Wang; Xiaochun Yun
Page(s): 3034 - 3044

6. An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking
Author(s): David Reverter Valeiras; Xavier Lagorce; Xavier Clady; Chiara Bartolozzi; Sio-Hoi Ieng; Ryad Benosman
Page(s): 3045 - 3059

7. Synchronization in Networks of Linearly Coupled Dynamical Systems via Event-Triggered Diffusions
Author(s): Wenlian Lu; Yujuan Han; Tianping Chen
Page(s): 3060 - 3069

8. RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG
Author(s): Feifei Qi; Yuanqing Li; Wei Wu
Page(s): 3070 - 3082

9. Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas
Author(s): Chao Yu; Minjie Zhang; Fenghui Ren; Guozhen Tan
Page(s): 3083 - 3096

10. Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle
Author(s): Yongping Pan; Tairen Sun; Haoyong Yu
Page(s): 3097 - 3108

11. Multistability for Delayed Neural Networks via Sequential Contracting
Author(s): Chang-Yuan Cheng; Kuang-Hui Lin; Chih-Wen Shih; Jui-Pin Tseng
Page(s): 3109 - 3122

12. Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
Author(s): Rohitash Chandra
Page(s): 3123 - 3136

13. DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons
Author(s): Aboozar Taherkhani; Ammar Belatreche; Yuhua Li; Liam P. Maguire
Page(s): 3137 - 3149

14. Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification
Author(s): Xinxing Xu; Wen Li; Dong Xu
Page(s): 3150 - 3162

15. A Divide-and-Conquer Method for Scalable Robust Multitask Learning
Author(s): Yan Pan; Rongkai Xia; Jian Yin; Ning Liu
Page(s): 3163 - 3175

16. Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking
Author(s): Lin Zhao; Xinbo Gao; Dacheng Tao; Xuelong Li
Page(s): 3176 - 3186

17. Entropic One-Class Classifiers
Author(s): Lorenzo Livi; Alireza Sadeghian; Witold Pedrycz
Page(s): 3187 - 3200

18. Undamped Oscillations Generated by Hopf Bifurcations in Fractional-Order Recurrent Neural Networks With Caputo Derivative
Author(s): Min Xiao; Wei Xing Zheng; Guoping Jiang; Jinde Cao
Page(s): 3201 - 3214

19. Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller
Author(s): Rajan Rakkiyappan; Shanmugavel Dharani; Jinde Cao
Page(s): 3215 - 3226

20. A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables
Author(s): Songchuan Zhang; Youshen Xia; Jun Wang
Page(s): 3227 - 3238

21. Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach
Author(s): Guanghui Wen; Wenwu Yu; Guoqiang Hu; Jinde Cao; Xinghuo Yu
Page(s): 3239 - 3250

22. Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots
Author(s): Zhijun Zhang; Zhijun Li; Yunong Zhang; Yamei Luo; Yuanqing Li
Page(s): 3251 - 3262

23. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks
Author(s): Maoguo Gong; Jia Liu; Hao Li; Qing Cai; Linzhi Su
Page(s): 3263 - 3277

24. Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems
Author(s): Qinmin Yang; Sarangapani Jagannathan; Youxian Sun
Page(s): 3278 - 3286

25. Performance Bounds of Quaternion Estimators
Author(s): Yili Xia; Cyrus Jahanchahi; Tohru Nitta; Danilo P. Mandic
Page(s): 3287 - 3292

26. On Extended Dissipativity of Discrete-Time Neural Networks With Time Delay
Author(s): Zhiguang Feng; Wei Xing Zheng
Page(s): 3293 - 3300

27. Simultaneous Computation of Two Independent Tasks Using Reservoir Computing Based on a Single Photonic Nonlinear Node With Optical Feedback
Author(s): Romain Modeste Nguimdo; Guy Verschaffelt; Jan Danckaert; Guy Van der Sande
Page(s): 3301 - 3307

28. Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses
Author(s): Wei Zhang; Chuandong Li; Tingwen Huang; Xing He
Page(s): 3308 - 3313

29. Robust Adaptive Dynamic Programming of Two-Player Zero-Sum Games for Continuous-Time Linear Systems
Author(s): Yue Fu; Jun Fu; Tianyou Chai
Page(s): 3314 - 3319

30. Asymptotic Stability of a Class of Neutral Delay Neuron System in a Critical Case
Author(s): Xiaofeng Liao; Tingwen Huang
Page(s): 3320 - 3325

Weeky Review 27 November 2015

Some interesting links that I Tweeted about this week:

• My review on Evolving Connectionist Systems has been cited 60 times now https://scholar.google.com/citations?view_op=view_citation&hl=en&user=Z29KBKYAAAAJ&citation_for_view=Z29KBKYAAAAJ:9yKSN-GCB0IC Two more years and I'll write an update
• Another comparison of Python and R for data science and analytics: http://www.datasciencecentral.com/profiles/blogs/programming-python-vs-r
• CV and interview pitfalls for academic job applicants: https://www.insidehighered.com/advice/2015/11/23/easy-fixes-your-cv-r%C3%A9sum%C3%A9-and-interview-answers-essay
• Predicting the gender of Tweeters using machine learning: http://www.kdnuggets.com/2015/11/machine-learning-predict-gender.html
• Science, and reality, is neither left- or right-wing, it just is. Politicians need to understand that: https://www.newscientist.com/article/dn28556-new-twist-in-republican-war-on-climate-science-is-unbelievable/
• Detecting fraudulent in-app purchases with decision trees: http://www.kdnuggets.com/2015/11/detecting-app-purchase-fraud-machine-learning.html What happens to the user if the decision tree is wrong?
• On the increasing prominence of machine learning - seems to have been enabled by the cloud https://channels.theinnovationenterprise.com/articles/are-we-approaching-the-golden-age-of-machine-learning

IEEE Transactions on Evolutionary Computation, Volume 19, Number 6, December 2015

1. A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
Author(s): Zhang, X. ; Tian, Y. ; Jin, Y.
Page(s): 761 - 776

2. Switch Analysis for Running Time Analysis of Evolutionary Algorithms
Author(s): Yu, Y. ; Qian, C. ; Zhou, Z.
Page(s): 777 - 792

3. A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model
Author(s): Liang, X. ; Chen, H. ; Lozano, J.A.
Page(s): 793 - 806

4. An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods
Author(s): Zhou, A. ; Sun, J. ; Zhang, Q.
Page(s): 807 - 822

5. Gene Regulatory Network Evolution Through Augmenting Topologies
Author(s): Cussat-Blanc, S. ; Harrington, K. ; Pollack, J.
Page(s): 823 - 837

6. A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
Author(s): Cheng, R. ; Jin, Y. ; Narukawa, K. ; Sendhoff, B.
Page(s): 838 - 856

7. Evolutionary Nonlinear Projection
Author(s): Ashlock, D. ; McEachern, A.
Page(s): 857 - 869

8. A Hybrid Swarm-Based Approach to University Timetablinga
Author(s): Fong, C.W. ; Asmuni, H. ; McCollum, B.
Page(s): 870 - 884

9. Using Learning Classifier Systems to Learn Stochastic Decision Policies
Author(s): Chen, G. ; Douch, C.I.J. ; Zhang, M.
Page(s): 885 - 902

10. Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach
Author(s): Cai, Q. ; Gong, M. ; Ruan, S. ; Miao, Q. ; Du, H.
Page(s): 903 - 916

IEEE Transactions on Fuzzy Systems, Volume 23, Number 6, December 2015

1. Multiattribute Decision Making Based on Interval-Valued Intuitionistic Fuzzy Sets, PSO Techniques, and Evidential Reasoning Methodology
Author(s): Chen, S. ; Chiou, C.
Page(s):1905 - 1916

2. Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction
Author(s): Behbood, V. ; Lu, J. ; Zhang, G. ; Pedrycz, W.
Page(s):1917 - 1935

3. Fuzzy Planar Graphs
Author(s): Samanta, S. ; Pal, M.
Page(s):1936 - 1942

4. State and Output Feedback Control of Interval Type-2 Fuzzy Systems With Mismatched Membership Functions
Author(s): Li, H. ; Sun, X. ; Wu, L. ; Lam, H.K.
Page(s):1943 - 1957

5. A Decision-Theoretic Rough Set Approach for Dynamic Data Mining
Author(s): Chen, H. ; Li, T. ; Luo, C. ; Horng, S. ; Wang, G.
Page(s):1958 - 1970

6. Introducing the Fuzzy Relational Hybrid Model as a Building Block for Intelligent Modeling of Hybrid Dynamical Systems
Author(s): Aghili-Ashtiani, A. ; Menhaj, M.B.
Page(s): 1971 - 1983

7. A Fuzzy Logic-Based Retrofit System for Enabling Smart Energy-Efficient Electric Cookers
Author(s): Ghelli, A. ; Hagras, H. ; Aldabbagh, G.
Page(s): 1984 - 1997

8. Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems With Dead-Zone Output Mechanism Based on a Novel Smooth Model
Author(s): Liu, Z. ; Lai, G. ; Zhang, Y. ; Chen, C.L.P.
Page(s): 1998 - 2011

9. A Novel Optimal Robust Control Design of Fuzzy Mechanical Systems
Author(s): Zhen, S. ; Zhao, H. ; Huang, K. ; Deng, B. ; Chen, Y.
Page(s): 2012 - 2023

10. Fast Fuzzy Pattern Tree Learning for Classification
Author(s): Senge, R. ; Hullermeier, E.
Page(s): 2024 - 2033

11. Quantitative Computation Tree Logic Model Checking Based on Generalized Possibility Measures
Author(s): Li, Y. ; Ma, Z.
Page(s): 2034 - 2047

12. Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm
Author(s): Pratama, M. ; Anavatti, S.G. ; Lu, J.
Page(s): 2048 - 2066

13. Design of a Polynomial Fuzzy Observer Controller With Sampled-Output Measurements for Nonlinear Systems Considering Unmeasurable Premise Variables
Author(s): Liu, C. ; Lam, H.K.
Page(s): 2067 - 2079

14. An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm
Author(s): Das, A.K. ; Subramanian, K. ; Sundaram, S.
Page(s): 2080 - 2093

15. 2-Additive Capacity Identification Methods From Multicriteria Correlation Preference Information
Author(s): Wu, J. ; Yang, S. ; Zhang, Q. ; Ding, S.
Page(s): 2094 - 2106

16. Bifuzzy Discrete Event Systems and Their Supervisory Control Theory
Author(s): Deng, W. ; Qiu, D.
Page(s): 2107 - 2121

17. Discovering Latent Semantics in Web Documents Using Fuzzy Clustering
Author(s): Chiang, I. ; Liu, C.C. ; Tsai, Y. ; Kumar, A.
Page(s): 2122 - 2134

18. Skewness of Fuzzy Numbers and Its Applications in Portfolio Selection
Author(s): Li, X. ; Guo, S. ; Yu, L.
Page(s): 2135 - 2143

19. Determinization of Fuzzy Automata by Means of the Degrees of Language Inclusion
Author(s): Micic, I. ; Jancic, Z. ; Ignjatovic, J. ; Ciric, M.
Page(s): 2144 - 2153

20. Generalizations of OWA Operators
Author(s): Mesiar, R. ; Stupnanova, A. ; Yager, R.R.
Page(s): 2154 - 2162

21. Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning
Author(s): Chen, C.L.P. ; Zhang, C. ; Chen, L. ; Gan, M.
Page(s): 2163 - 2173

22. An Interval-Based Framework for Fuzzy Clustering Applications
Author(s): Silva, L. ; Moura, R. ; Canuto, A.M.P. ; Santiago, R.H.N. ; Bedregal, B.
Page(s): 2174 - 2187

23. A New Fuzzy Cognitive Map Structure Based on the Weighted Power Mean
Author(s): Rickard, J.T. ; Aisbett, J. ; Yager, R.R.
Page(s): 2188 - 2201

Weekly Review 20 November 2015

I've not been posting to this blog very much recently. This is mostly because I have been putting more of my energy into posting interesting information on Twitter. My Twitter profile is here:

https://twitter.com/DrMikeWatts


I tweet there almost every day. Below is a list of my computational intelligence-related Tweets from the last week.

• 7 steps to machine learning in Python: http://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html
• Social media for academics: https://medium.com/advice-and-help-in-authoring-a-phd-or-non-fiction/are-you-an-academic-hermit-6d7ae5a0f16a
• Predicting student success - http://www.datasciencecentral.com/profiles/blogs/predictive-analytics-goes-to-college-to-predict-student-success
• Waste disposal, lawsuit selection and parking enforcement, 3 real-world applications of machine learning: http://www.datanami.com/2015/11/18/three-unique-ways-machine-learning-is-being-used-in-the-real-world/ 
• List of deep-learning tools: http://www.kdnuggets.com/2015/06/popular-deep-learning-tools.html
• Another cloud-based deep-learning system: http://www.datanami.com/2015/11/17/cloud-based-deep-learning-tool-explains-predictions/
• Predicting online gambling addiction using machine learning https://thestack.com/cloud/2015/10/26/machine-learning-to-help-predict-online-gambling-addiction/
• The role of machine learning in cybersecurity http://www.datanami.com/2015/11/16/machine-learnings-big-role-in-the-future-of-cybersecurity/ … I know of several papers applying my SECoS algorithm to cybersecurity
• Experiments with AWS machine learning: http://www.datasciencecentral.com/profiles/blogs/experimenting-with-aws-machine-learning-for-classification
• Microsoft open sources part of their machine learning technology: https://thestack.com/world/2015/11/13/microsoft-open-sources-its-machine-learning-toolkit/
• Neural storytellers: http://www.kdnuggets.com/2015/11/samim-recurrent-neural-net-describe-images-taylor-swift.html 
• List of JavaScript machine learning libraries: http://www.datasciencecentral.com/profiles/blogs/machine-learning-in-javascript-a-compilation-of-resources
• Many middle-class jobs are now being threatened by AI. How long before higher education goes the same way? http://www.theguardian.com/technology/2015/nov/12/thinking-machines-skilled-job-robots-steal When an AI can teach a class of undergrads, I'll be worried
• 7 free machine learning courses: http://www.datasciencecentral.com/profiles/blogs/7-free-machine-learning-courses 
• Natural Language Processing with Convolutional Neural Networks: http://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html 
• Facebook is also investing big in machine learning / artificial intelligence: http://www.businessinsider.com.au/facebook-outlines-its-artificial-and-machine-learning-ambitions-2015-11 
• TensorFlow, a neural network / machine intelligence toolkit from Google, now open source: https://tensorflow.org
• A report on some first experiences with TensorFlow: http://www.kdnuggets.com/2015/11/google-tensorflow-deep-learning-disappoints.html The author seems to be under-whelmed

Neural Networks, Volume 71, Pages 1-224, November 2015

1. Towards dropout training for convolutional neural networks  
Pages: 1-10
Author(s): Haibing Wu, Xiaodong Gu

2. Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction  
Pages: 11-26
Author(s): Yiqian Cui, Junyou Shi, Zili Wang

3. Multistability of memristive Cohen–Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays  
Pages: 27-36
Author(s): Xiaobing Nie, Wei Xing Zheng, Jinde Cao

4. Stability and synchronization of memristor-based fractional-order delayed neural networks  
Pages: 37-44
Author(s): Liping Chen, Ranchao Wu, Jinde Cao, Jia-Bao Liu

5. A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning  
Pages: 45-54
Author(s): Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang, Nick Hughes

6. Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching  
Pages: 55-61
Author(s): Guodong Zhang, Yi Shen

7. Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis 
Pages: 62-75
Author(s): Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li

8. OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training  
Pages: 76-87
Author(s): Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini

9. Incremental multi-class semi-supervised clustering regularized by Kalman filtering  
Pages: 88-104
Author(s): Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A.K. Suykens

10. Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control  
Pages: 105-111
Author(s): Wei Zhang, Chuandong Li, Tingwen Huang, Mingqing Xiao

11. A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task  
Pages: 112-123
Author(s): Sareh Zendehrouh

12. Long-range cortical connections give rise to a robust velocity map of V1  
Pages: 124-141
Author(s): Phillip Sheridan

13. Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification  
Pages: 142-149
Author(s): Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macaš, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar

14. Reinforcement learning solution for HJB equation arising in constrained optimal control problem  
Pages: 150-158
Author(s): Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

15. Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality  
Pages: 159-171
Author(s): Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo

16. Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement  
Pages: 172-181
Author(s): Soheil Ganjefar, Morteza Tofighi, Hamidreza Karami

17. Investigation on Amari’s dynamical neural field with global constant inhibition  
Pages: 182-195
Author(s): Dequan Jin, Jigen Peng

18. Consensus analysis of networks with time-varying topology and event-triggered diffusions  
Pages: 196-203
Author(s): Yujuan Han, Wenlian Lu, Tianping Chen

19. Prediction of telephone calls load using Echo State Network with exogenous variables  
Pages: 204-213
Author(s): Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian

20. Budget constrained non-monotonic feature selection  
Pages: 214-224
Author(s): Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King

IEEE Transactions on Neural Networks and Learning Systems: Volume 26, Issue 11, November 2015

1. Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models
Authors: Feihu Huang; Songcan Chen
Page(s): 2606 - 2620

2. Mode-Dependent Stochastic Synchronization for Markovian Coupled Neural Networks With Time-Varying Mode-Delays
Authors: Huaguang Zhang; Junyi Wang; Zhanshan Wang; Hongjing Liang
Page(s): 2621 - 2634

3. A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition
Authors: Yong Zhang; Peng Li; Yingyezhe Jin; Yoonsuck Choe
Page(s): 2635 - 2649

4. Noise Level Estimation for Model Selection in Kernel PCA Denoising
Authors: Carolina Varon; Carlos Alzate; Johan A. K. Suykens
Page(s): 2650 - 2663

5. Active Learning-Based Pedagogical Rule Extraction
Authors: Enric Junque de Fortuny; David Martens
Page(s): 2664 - 2677

6. Impulsive Multiconsensus of Second-Order Multiagent Networks Using Sampled Position Data
Authors: Zhi-Hong Guan; Guang-Song Han; Juan Li; Ding-Xin He; Gang Feng
Page(s): 2678 - 2688

7. Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling
Authors: Sotirios P. Chatzis; Andreas S. Andreou
Page(s): 2689 - 2701

8. Universal Memcomputing Machines
Authors: Fabio Lorenzo Traversa; Massimiliano Di Ventra
Page(s): 2702 - 2715

9. Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons
Authors: Delin Chu; Li-Zhi Liao; Michael Kwok-Po Ng; Xiaoyan Wang
Page(s): 2716 - 2735

10. An Information-Based Learning Approach to Dual Control
Authors: Tansu Alpcan; Iman Shames
Page(s): 2736 - 2748

11. Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems With Prescribed Performance
Authors: Changchun Hua; Liuliu Zhang; Xinping Guan
Page(s): 2749 - 2759

12. Robust Nonnegative Patch Alignment for Dimensionality Reduction
Authors: Xinge You; Weihua Ou; Chun Lung Philip Chen; Qiang Li; Ziqi Zhu; Yuanyan Tang
Page(s): 2760 - 2774

13. Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer
Authors: Jialu Du; Xin Hu; Hongbo Liu; C. L. Philip Chen
Page(s): 2775 - 2786

14. An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction
Authors: Ronay Ak; Valeria Vitelli; Enrico Zio
Page(s): 2787 - 2800

15. MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis
Authors: Wanqi Yang; Yang Gao; Yinghuan Shi; Longbing Cao
Page(s): 2801 - 2815

16. On the Universality of Axon P Systems
Authors: Xingyi Zhang; Linqiang Pan; Andrei Paun
Page(s): 2816 - 2829

17. Recurrent Neural Network for Computing the Drazin Inverse
Authors: Predrag S. Stanimirovic; Ivan S. Zivkovic; Yimin Wei
Page(s): 2830 - 2843

18. Adaptive Neural Network Dynamic Surface Control for a Class of Time-Delay Nonlinear Systems With Hysteresis Inputs and Dynamic Uncertainties
Authors: Xiuyu Zhang; Chun-Yi Su; Yan Lin; Lianwei Ma; Jianguo Wang
Page(s): 2844 - 2860

19. Improved Learning Performance of Hardware Self-Organizing Map Using a Novel Neighborhood Function
Authors: Hiroomi Hikawa; Yutaka Maeda
Page(s): 2861 - 2873

20. Robust Multitask Multiview Tracking in Videos
Authors: Xue Mei; Zhibin Hong; Danil Prokhorov; Dacheng Tao
Page(s): 2874 - 2890

21. A Projection Neural Network for Constrained Quadratic Minimax Optimization
Authors: Qingshan Liu; Jun Wang
Page(s): 2891 - 2900

22. Multistability and Instability of Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions
Authors: Xiaobing Nie; Wei Xing Zheng
Page(s): 2901 - 2913

23. Finite-Time Stabilizability and Instabilizability of Delayed Memristive Neural Networks With Nonlinear Discontinuous Controller
Authors: Leimin Wang; Yi Shen
Page(s): 2914 - 2924

24. Model-Free Primitive-Based Iterative Learning Control Approach to Trajectory Tracking of MIMO Systems With Experimental Validation
Authors: Mircea-Bogdan Radac; Radu-Emil Precup; Emil M. Petriu
Page(s): 2925 - 2938

25. Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge
Authors: Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Danwei Wang; Chiang-Ju Chien
Page(s): 2939 - 2948

26. Data-Driven H_\infty   Control for Nonlinear Distributed Parameter Systems
Authors: Biao Luo; Tingwen Huang; Huai-Ning Wu; Xiong Yang
Page(s): 2949 - 2961

27. Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems
Authors: Xinyi Le; Jun Wang
Page(s): 2962 - 2971

28. Sparse Density Estimation on the Multinomial Manifold
Authors: Xia Hong; Junbin Gao; Sheng Chen; Tanveer Zia
Page(s): 2972 - 2977

29. Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation
Authors: Parham Aram; Visakan Kadirkamanathan; Sean R. Anderson
Page(s): 2978 - 2983

Evolving Systems Volume 6, Issue 4, December 2015

1. A fast cellular automata algorithm for liquid diffusion phenomenon modeling
Authors: Abbas M. Al-Ghaili, Khairulmizam Samsudin, M. Iqbal Saripan,W. Azizun Wan Adnan
Pages: 229-241

2. Experimental assessment and design of multiple model predictive control based on local model networks for industrial processes
Authors: Thiago V. Costa, Ana M. F. Fileti, Luís C. Oliveira-Lopes, Flávio V. Silva
Pages: 243-253

3. Know-How: a design pattern for generic log adapter
Authors: M. M. Math, S. F. Rodd, Harish Kenchannavar, S. B. Kulkarni, A. R. Yardi
Pages: 255-268

4. Generalized smart evolving fuzzy systems
Authors: Lughofer, Carlos Cernuda, Stefan Kindermann, Mahardhika Pratama
Pages: 269-292

5. A novel hybrid PSO-ACO approach with its application to SPP
Authors: A. H. Mazinan, F. Sagharichiha
Pages: 293-302

Conference paper deadline: WCICA 2016

The deadline for submitting papers to the 12th World Congress on Intelligent Control and Automation (WCICA) 2016 is January 10, 2016. This conference will be held in Guilin, China, June 12-17, 2016.

ECoS Toolbox version 1.2

I've just released version 1.2 of the Evolving Connectionist System Toolbox. The toolbox is a collection of command-line applications that implement several algorithms associated with Evolving Connectionist Systems.

This release of the toolbox adds several tools for Nominal-scale Evolving Connectionist Systems (NECoS). This is a modification of the ECoS algorithm so that it can model nominal-scale data directly. While most ANN require nominal-scale data to be transformed into a binary or orthogonal representation, NECoS handle nominal-scale data "as is". This means that new symbols in the input stream can be easily captured by the ANN. In contrast, a binary representation scheme cannot handle symbols that have not been considered, as that would require adding input neurons.

I have also added a tool that compiles trained SECoS ANN into code. So far, the compiler will output code in Python, C++ and C#, where each SECoS compiled is represented as one class. The compiled SECoS are recall-only, and cannot be further trained. There are examples included in the toolbox of how to use the generated code for each of the three languages the tool outputs.

The last group of enhancements (apart from a few minor bug-fixes) are tools that will convert to and from ARFF format data files and the format used by the ECoS toolbox.

These tools are all free to use, but I do request that if you use them in your research, you give credit to them (and me).

IEEE Transactions on Fuzzy Systems, Volume 23, Number 5, October 2015

1. Uncertain Random Alternating Renewal Process With Application to Interval Availability
Author(s): Yao, K.; Gao, J.
Page(s): 1333 - 1342

2. Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making
Author(s): Liao, H.; Xu, Z.; Zeng, X.
Page(s): 1343 - 1355

3. Quadratic Program-Based Modularity Maximization for Fuzzy Community Detection in Social Networks
Author(s): Su, J.; Havens, T.C.
Page(s): 1356 - 1371

4. Robust Granular Optimization: A Structured Approach for Optimization Under Integrated Uncertainty
Author(s): Wang, S.; Pedrycz, W.
Page(s): 1372 - 1386

5. Adaptive Fuzzy Identification and Control for a Class of Nonlinear Pure-Feedback MIMO Systems With Unknown Dead Zones
Author(s): Liu, Y.; Tong, S.
Page(s): 1387 - 1398

6. Indexing Fuzzy Spatiotemporal Data for Efficient Querying: A Meteorological Application
Author(s): Sozer, A.; Yazici, A.; Oguztuzun, H.
Page(s): 1399 - 1413

7. Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks
Author(s): Wang, N.; Er, M.J.; Han, M.
Page(s): 1414 - 1427

8. Fuzzy Reliability Assessment of Systems With Multiple-Dependent Competing Degradation Processes
Author(s): Lin, Y.; Li, Y.; Zio, E.
Page(s): 1428 - 1438

9. A Way to Choquet Calculus
Author(s): Sugeno, M.
Page(s): 1439 - 1457

10. Model Approximation for Fuzzy Switched Systems With Stochastic Perturbation
Author(s): Su, X.; Wu, L.; Shi, P.; Chen, C.L.P.
Page(s): 1458 - 1473

11. An Interval Type-2 Neural Fuzzy Classifier Learned Through Soft Margin Minimization and its Human Posture Classification Application
Author(s): Juang, C.; Wang, P.
Page(s): 1474 - 1487

12. Planning Water Resources Allocation Under Multiple Uncertainties Through a Generalized Fuzzy Two-Stage Stochastic Programming Method
Author(s): Fan, Y.; Huang, G.; Huang, K.; Baetz, B.W.
Page(s): 1488 - 1504

13. Fuzzy Adaptive Output Feedback Tracking Control of VTOL Aircraft With Uncertain Input Coupling and Input-Dependent Disturbances
Author(s): Chwa, D.
Page(s): 1505 - 1518

14. Definite Integrals of Atanassov's Intuitionistic Fuzzy Information
Author(s): Lei, Q.; Xu, Z.; Bustince, H.; Burusco, A.
Page(s): 1519 - 1533

15. Safe Diagnosability of Fuzzy Discrete-Event Systems and a Polynomial-Time Verification
Author(s): Liu, F.
Page(s): 1534 - 1544

16. Bayesian Fuzzy Clustering
Author(s): Glenn, T.C.; Zare, A.; Gader, P.D.
Page(s): 1545 - 1561

17. Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies
Author(s): Elkano, M.; Galar, M.; Sanz, J.A.; Fernandez, A.; Barrenechea, E.; Herrera, F.; Bustince, H.
Page(s): 1562 - 1580

18. Type-2 Fuzzy Topic Models for Human Action Recognition
Author(s): Cao, X.; Liu, Z.
Page(s): 1581 - 1593

19. Evolutionary Optimization of a Motorcycle Traction Control System Based on Fuzzy Logic
Author(s): Cabrera, J.A.; Castillo, J.J.; Carabias, E.; Ortiz, A.
Page(s): 1594 - 1607

20. Controller Design for Discrete-Time Descriptor Models: A Systematic LMI Approach
Author(s): Estrada-Manzo, V.; Lendek, Z.; Guerra, T.M.; Pudlo, P.
Page(s): 1608 - 1621

21. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification
Author(s): Ramentol, E.; Vluymans, S.; Verbiest, N.; Caballero, Y.; Bello, R.; Cornelis, C.; Herrera, F.
Page(s): 1622 - 1637

22. A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning
Author(s): Wang, X.; Xing, H.; Li, Y.; Hua, Q.; Dong, C.; Pedrycz, W.
Page(s): 1638 - 1654

23. Hesitant Fuzzy Power Bonferroni Means and Their Application to Multiple Attribute Decision Making
Author(s): He, Y.; He, Z.; Wang, G.; Chen, H.
Page(s): 1655 - 1668

24. Dissipativity-Based Sampled-Data Fuzzy Control Design and its Application to Truck-Trailer System
Author(s): Wu, Z.; Shi, P.; Su, H.; Lu, R.
Page(s): 1669 - 1679

25. Dynamical Models of Stock Prices Based on Technical Trading Rules—Part III: Application to Hong Kong Stocks
Author(s): Wang, L.
Page(s): 1680 - 1697

26. Optimization of the Carpool Service Problem via a Fuzzy-Controlled Genetic Algorithm
Author(s): Huang, S.; Jiau, M.; Lin, C.
Page(s): 1698 - 1712

27. A Regularized Monotonic Fuzzy Support Vector Machine Model for Data Mining With Prior Knowledge
Author(s): Li, S.; Chen, C.
Page(s): 1713 - 1727

28. A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development
Author(s): Chan, K.Y.; Lam, H.K.; Dillon, T.S.; Ling, S.H.
Page(s): 1728 - 1745

29. Approximation-Based Adaptive Fuzzy Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Time-Delay Systems
Author(s): Wang, H.; Liu, X.; Liu, K.; Karimi, H.R.
Page(s): 1746 - 1760

30. Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process
Author(s): Dovzan, D.; Logar, V.; Skrjanc, I.
Page(s): 1761 - 1776

31. Adaptive Personalized Diet Linguistic Recommendation Mechanism Based on Type-2 Fuzzy Sets and Genetic Fuzzy Markup Language
Author(s): Lee, C.; Wang, M.; Lan, S.
Page(s): 1777 - 1802

32. Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems
Author(s): Wang, T.; Tong, S.; Yi, J.; Li, H.
Page(s): 1803 - 1816

33. A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making
Author(s): Dutta, B.; Guha, D.; Mesiar, R.
Page(s): 1817 - 1831

34. Stabilization and Separation Principle of Networked Control Systems Using the T–S Fuzzy Model Approach
Author(s): Li, H.; Wu, L.; Li, J.; Sun, F.; Xia, Y.
Page(s): 1832 - 1843

35. Decentralized Adaptive Fuzzy Output-Feedback Control of Switched Large-Scale Nonlinear Systems
Author(s): Long, L.; Zhao, J.
Page(s): 1844 - 1860

36. Data-Informed Fuzzy Measures for Fuzzy Integration of Intervals and Fuzzy Numbers
Author(s): Havens, T.C.; Anderson, D.T.; Wagner, C.
Page(s): 1861 - 1875

37. Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship
Author(s): Sola, H.B.; Fernandez, J.; Hagras, H.; Herrera, F.; Pagola, M.; Barrenechea, E.
Page(s): 1876 - 1882

38. Nonfragile Distributed Filtering for T–S Fuzzy Systems in Sensor Networks
Author(s): Zhang, D.; Cai, W.; Xie, L.; Wang, Q.
Page(s): 1883 - 1890

39. Fuzzy and Set-Valued Stochastic Differential Equations With Local Lipschitz Condition
Author(s): Malinowski, M.T.
Page(s): 1891 - 1898

40. On the Maximum Entropy Negation of a Probability Distribution
Author(s): Yager, R.R.
Page(s): 1899 - 1902

IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Issue 10, October 2015

1. Scene Recognition by Manifold Regularized Deep Learning Architecture
Authors: Yuan Yuan; Lichao Mou; Xiaoqiang Lu
Page(s): 2222 - 2233

2. Linear-Time Subspace Clustering via Bipartite Graph Modeling
Authors: Amir Adler; Michael Elad; Yacov Hel-Or
Page(s): 2234 - 2246

3. Nuclear Norm-Based 2-DPCA for Extracting Features From Images
Authors: Fanlong Zhang; Jian Yang; Jianjun Qian; Yong Xu
Page(s): 2247 - 2260

4. Deformed Graph Laplacian for Semisupervised Learning
Authors: Chen Gong; Tongliang Liu; Dacheng Tao; Keren Fu; Enmei Tu; Jie Yang
Page(s): 2261- 2274

5. Learning to Rank for Blind Image Quality Assessment
Authors: Fei Gao; Dacheng Tao; Xinbo Gao; Xuelong Li
Page(s): 2275 - 2290

6. Matrix Variate Distribution-Induced Sparse Representation for Robust Image Classification
Authors: Jinhui Chen; Jian Yang; Lei Luo; Jianjun Qian; Wei Xu
Page(s): 2291 - 2300

7. Optimal Critic Learning for Robot Control in Time-Varying Environments
Authors: Chen Wang; Yanan Li; Shuzhi Sam Ge; Tong Heng Lee
Page(s): 2301 - 2310

8. Adaptive Control of Uncertain Nonaffine Nonlinear Systems With Input Saturation Using Neural Networks
Authors: Kasra Esfandiari; Farzaneh Abdollahi; Heidar Ali Talebi
Page(s): 2311 - 2322

9. Learning-Regulated Context Relevant Topographical Map
Authors: Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg
Page(s): 2323 - 2335

10. Stochastic Stability of Delayed Neural Networks With Local Impulsive Effects
Authors: Wenbing Zhang; Yang Tang; Wai Keung Wong; Qingying Miao
Page(s): 2336 - 2345

11. Energy-to-Peak State Estimation for Markov Jump RNNs With Time-Varying Delays via Nonsynchronous Filter With Nonstationary Mode Transitions
Authors: Lixian Zhang; Yanzheng Zhu; Wei Xing Zheng
Page(s): 2346 - 2356

12. Linear Regression-Based Efficient SVM Learning for Large-Scale Classification
Authors: Jianxin Wu; Hao Yang
Page(s): 2357 - 2369

13. On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks
Authors: Muhammad Naeem; Liam J. McDaid; Jim Harkin; John J. Wade; John Marsland
Page(s): 2370 - 2380

14. Data Imputation Through the Identification of Local Anomalies
Authors: Huseyin Ozkan; Ozgun Soner Pelvan; Suleyman S. Kozat
Page(s): 2381 - 2395

15. Synchronization of Linearly Coupled Networks With Delays via Aperiodically Intermittent Pinning Control
Authors: Xiwei Liu; Tianping Chen
Page(s): 2396 - 2407

16. Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training
Authors: Daniel Soudry; Dotan Di Castro; Asaf Gal; Avinoam Kolodny; Shahar Kvatinsky
Page(s): 2408 - 2421

17. A Kernel Adaptive Algorithm for Quaternion-Valued Inputs
Authors: Thomas K. Paul; Tokunbo Ogunfunmi
Page(s): 2422 - 2439

18. Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images
Authors: Shijie Xiao; Dong Xu; Jianxin Wu
Page(s): 2440 - 2452

19. Hierarchical Cooperative Control for Multiagent Systems With Switching Directed Topologies
Authors: Jianqiang Hu; Jinde Cao
Page(s): 2453 - 2463

20. Dependent Online Kernel Learning With Constant Number of Random Fourier Features
Authors: Zhen Hu; Ming Lin; Changshui Zhang
Page(s): 2464 - 2476

21. Deep and Shallow Architecture of Multilayer Neural Networks
Authors: Chih-Hung Chang
Page(s): 2477 - 2486

22. Global Synchronization of Complex Dynamical Networks Through Digital Communication With Limited Data Rate
Authors: Yan-Wu Wang; Tao Bian; Jiang-Wen Xiao; Changyun Wen
Page(s): 2487 - 2499

23. Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks
Authors: Mohammed Mestari; Mohammed Benzirar; Nadia Saber; Meryem Khouil
Page(s): 2500 - 2520

24. Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression
Authors: Yongsheng Ding; Lijun Cheng; Witold Pedrycz; Kuangrong Hao
Page(s): 2521 - 2534

25. Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form
Authors: Hassan Zargarzadeh; Travis Dierks; Sarangapani Jagannathan
Page(s): 2535 - 2549

26. $ {H}_{ {infty }}$  Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning
Authors: Hamidreza Modares; Frank L. Lewis; Zhong-Ping Jiang
Page(s): 2550 - 2562

27. Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle
Authors: Bin Xu; Chenguang Yang; Yongping Pan
Page(s): 2563 - 2575

28. Sparse Representation in Kernel Machines
Authors: Hongwei Sun; Qiang Wu
Page(s): 2576 - 2582

29. Twin Support Vector Machine for Clustering
Authors: Zhen Wang; Yuan-Hai Shao; Lan Bai; Nai-Yang Deng
Page(s): 2583 - 2588

30. Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method
Authors: Zhanshan Wang; Lei Liu; Qi-He Shan; Huaguang Zhang
Page(s): 2589 - 2595

31. On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse
Authors: Roshan Gopalakrishnan; Arindam Basu
Page(s): 2596 - 2601

IEEE Transactions on Evolutionary Computation, Volume 19, Number 5, October 2015

1. Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey
Author(s): Tayarani-N., M.; Yao, X.; Xu, H.
Page(s): 609 - 629

2. Solving Uncompromising Problems With Lexicase Selection
Author(s): Helmuth, T.; Spector, L.; Matheson, J.
Page(s): 630 - 643

3. Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP
Author(s): Feng, L.; Ong, Y.; Lim, M.; Tsang, I.W.
Page(s): 644 - 658

4. Computational Cost Reduction of Nondominated Sorting Using the M-Front
Author(s): Drozdik, M.; Akimoto, Y.; Aguirre, H.; Tanaka, K.
Page(s): 659 - 678

5. Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming With Similarity Weight Tournament Selection
Author(s): Wang, L.; Yang, B.; Wang, S.; Liang, Z.
Page(s): 679 - 693

6. An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
Author(s): Li, K.; Deb, K.; Zhang, Q.; Kwong, S.
Page(s): 694 - 716

7. Improving Differential Evolution With a Successful-Parent-Selecting Framework
Author(s): Guo, S.; Yang, C.; Hsu, P.; Tsai, J.S.
Page(s): 717 - 730

8. Robust Optimization Over Time: Problem Difficulties and Benchmark Problems
Author(s): Fu, H.; Sendhoff, B.; Tang, K.; Yao, X.
Page(s): 731 - 745

9. A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization
Author(s): Gong, W.; Zhou, A.; Cai, Z.
Page(s): 746 - 758

Call for Papers WCCI 2016 Special Session Computational Intelligence in Ecological Informatics and Environmental Modelling

Aim

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. The amount of data describing global and local environments and the eco-systems that inhabit them is rapidly increasing. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling. This is a highly topical area and is open to a broad array of methods from the field of computational intelligence.

Scope

The scope of the special session includes, but is not limited to, the following topics:

• Species distribution and ecological niche modelling
• Predicting species abundance
• Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
• Analysis of species assemblages
• Classification of species
• Environmental impact assessment
• Modelling of environmental events including floods
• Issues in the preparation of ecological data for modelling
• Modelling of pollutants or contamination in air, land or water
• Modelling water quality
• Greenhouse gas emissions modelling and the effects of climate change
• Modelling the future development of populations
• Detecting landscape features
• Modelling water drainage systems
• Assessment of habitat quality
• Forecasting of algal blooms
• Habitat suitability modelling
• Predicting crop hazards, pests or diseases
• Modelling interactions between multiple species
• Identifying landscape features
• Modelling ecosystem biomass
• Learning of phenological patterns

 

Important Dates

• Paper submission deadline: 15th January 2016
• Author notification: 15th March 2016
• Deadline for final manuscript: 15th April 2016
• Early registration deadline: 15th April 2016
• Conference dates: 25th July-29th July 2016

Paper Submission As this is a cross-disciplinary special session, please submit papers via the IEEE CEC 2016 submission site: http://ieee-cis.org/conferences/cec2016/upload.php Please make sure you select "Computational Intelligence in Ecological Informatics and Environmental Modelling" under "Cross-Disciplinary and CI Applications Special Sessions" as the Main Research Topic of your submission. Accepted papers will be published in the conference proceedings that are most appropriate for the paper (IJCNN, FUZZ-IEEE or CEC). This decision will be made by the Special Session Organisers in consultation with the Special Session Chair and one of the three Conference Chairs.

 

Organisers

• Dr Michael J. Watts, Auckland Institute of Studies, Auckland, New Zealand. mjwatts@ieee.org
• Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

 

Dr Michael J. Watts

Dr Michael J. Watts (Senior Member, IEEE) is the Academic Head of Programme for Information Technology at Auckland Institute of Studies, Auckland, New Zealand. His research interests are in the areas of ecological informatics, neural networks, neuro-fuzzy systems, and evolutionary algorithms. He is particularly interested in the intersections of these areas, where computational intelligence methods can be applied to ecological informatics. He has published more than 70 peer-reviewed papers in a range of international journals and conferences on a variety of topics, particularly computational intelligence and ecological informatics. He is currently on the editorial boards of the Springer journal Soft Computing and the IEEE Transactions on Neural Networks and Learning Systems. He teaches basic database engineering, fundamentals of programming, data mining and information security and serves on a number of committees of the IEEE Computational Intelligence Society including the Neural Networks Technical Committee and the Standards Committee.

 

Professor Jie Yang

Jie Yang is the Professor and Director of the Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University, where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence, including two national 973 research plan projects, three national 863 research plan projects, three National Nature Foundation projects, five international cooperative projects with France, Korea, Japan, New Zealand. He has published four books and more than four hundred articles in national or international academic journals and conferences. Up to now, he has supervised 4 postdoctoral, 32 doctors and 55 masters, and been awarded five research achievement prizes from ministry of Education, China and Shanghai municipality. One Ph.D. dissertation he supervised was evaluated as "National Best Ph.D. Dissertation" in 2009. Two Ph.D. dissertations he supervised were evaluated as "Shanghai Best Ph.D. Dissertation" in 2009 and 2010. He has owned 25 patents.

IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Number 3, September 2015

1. The Age of Analytics
Author(s): Bauckhage, C.; Drachen, A.; Thurau, C.
Page(s): 205 - 206

2. An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games
Author(s): Harrison, B.; Roberts, D.L.
Page(s): 207 - 219

3. Detecting Predatory Behavior in Game Chats
Author(s): Cheong, Y.-G.; Jensen, A.K.; Gudnadottir, E.R.; Bae, B.-C.; Togelius, J.
Page(s): 220 - 232

4. Player Preference and Style in a Leading Mobile Card Game
Author(s): Cowling, P.I.; Devlin, S.; Powley, E.J.; Whitehouse, D.; Rollason, J.
Page(s): 233 - 242

5. Thinking Style and Team Competition Game Performance and Enjoyment
Author(s): Wang, H.; Yang, H.-T.; Sun, C.-T.
Page(s): 243 - 254

6. Churn Prediction in Online Games Using Players’ Login Records: A Frequency Analysis Approach
Author(s): Castro, E.G.; Tsuzuki, M.S.G.
Page(s): 255 - 265

7. Clustering Game Behavior Data
Author(s): Bauckhage, C.; Drachen, A.; Sifa, R.
Page(s): 266 - 278

8. Postprocessing Gameplay Metrics for Gameplay Performance Segmentation Based on Audiovisual Analysis
Author(s): Marczak, R.; Schott, G.; Hanna, P.
Page(s): 279 - 291

9. Past Our Prime: A Study of Age and Play Style Development in Battlefield 3
Author(s): Tekofsky, S.; Spronck, P.; Goudbeek, M.; Plaat, A.; van den Herik, J.
Page(s): 292 - 303

10. On Learning From Game Annotations
Author(s): Wirth, C.; Furnkranz, J.
Page(s): 304 - 316

IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Issue 9, September 2015

1. Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori
Author(s): Weisheng Chen;  Shuzhi Sam Ge; Jian Wu; Maoguo Gong
Page(s): 1842 - 1854

2. Progressive Learning Machine: A New Approach for General Hybrid System Approximation
Author(s): Yimin Yang; Yaonan Wang; Q. M. Jonathan Wu; Xiaofeng Lin; Min Liu
Page(s): 1855 - 1874

3. Artificial Electrical Morris–Lecar Neuron
Author(s): Rachid Behdad; Stephane Binczak; Alexey S. Dmitrichev; Vladimir I. Nekorkin; Jean-Marie Bilbault
Page(s): 1875 - 1884

4. Distributed Containment Control for Multiple Unknown Second-Order Nonlinear Systems With Application to Networked Lagrangian Systems
Author(s): Jie Mei; Wei Ren; Bing Li; Guangfu Ma
Page(s): 1885 - 1899

5. Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter
Author(s): Xingang Fu; Shuhui Li; Michael Fairbank; Donald C. Wunsch; Eduardo Alonso
Page(s): 1900 - 1912

6. Learning Stable Multilevel Dictionaries for Sparse Representations
Author(s): Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias
Page(s): 1913 - 1926

7. Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent
Author(s): En-Liang Hu; James T. Kwok
Page(s): 1927 - 1938

8. Fault Identification in Distributed Sensor Networks Based on Universal Probabilistic Modeling
Author(s): Stavros Ntalampiras
Page(s): 1939 - 1949

9. A Kernel Classification Framework for Metric Learning
Author(s): Faqiang Wang; Wangmeng Zuo; Lei Zhang; Deyu Meng; David Zhang
Page(s): 1950 - 1962

10. Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
Author(s): Bo Zhao; Ruoxi Ding; Shoushun Chen; Bernabe Linares-Barranco; Huajin Tang
Page(s): 1963 - 1978

11. MTC: A Fast and Robust Graph-Based Transductive Learning Method
Author(s): Yan-Ming Zhang; Kaizhu Huang; Guang-Gang Geng; Cheng-Lin Liu
Page(s): 1979 - 1991

12. Context Dependent Encoding Using Convolutional Dynamic Networks
Author(s): Rakesh Chalasani; Jose C. Principe
Page(s): 1992 - 2004

13. An Improved TA-SVM Method Without Matrix Inversion and Its Fast Implementation for Nonstationary Datasets
Author(s): Yingzhong Shi; Fu-Lai Chung; Shitong Wang
Page(s): 2005 - 2018

14. Learning With Mixed Hard/Soft Pointwise Constraints
Author(s): Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti
Page(s): 2019 - 2032

15. Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
Author(s): Leimin Wang; Yi Shen; Quan Yin; Guodong Zhang
Page(s): 2033 - 2042

16. Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays
Author(s): Rajan Rakkiyappan; Arunachalam Chandrasekar; Jinde Cao
Page(s): 2043 - 2057

17. Two Efficient Twin ELM Methods With Prediction Interval
Author(s): Kefeng Ning; Min Liu; Mingyu Dong; Cheng Wu; ZhanSong Wu
Page(s): 2058 - 2071

18. Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Author(s): Xuhui Fan; Longbing Cao; Richard Yi Da Xu
Page(s): 2072 - 2085

19. Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation
Author(s): Mou Chen; Gang Tao; Bin Jiang
Page(s): 2086 - 2097

20. Robust Novelty Detection via Worst Case CVaR Minimization
Author(s): Yongqiao Wang; Chuangyin Dang; Shouyang Wang
Page(s): 2098 - 2110

21. A Distributed Approach Toward Discriminative Distance Metric Learning
Author(s): Jun Li; Xun Lin; Xiaoguang Rui; Yong Rui; Dacheng Tao
Page(s): 2111 - 2122

22. Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals
Author(s): Hao Quan; Dipti Srinivasan; Abbas Khosravi
Page(s): 2123 - 2135

23. Group Factor Analysis
Author(s): Arto Klami; Seppo Virtanen; Eemeli Leppäaho; Samuel Kaski
Page(s): 2136 - 2147

24. Fick’s Law Assisted Propagation for Semisupervised Learning
Author(s): Chen Gong; Dacheng Tao; Keren Fu; Jie Yang
Page(s): 2148 - 2162

25. Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network
Author(s): Maciej Kusy; Roman Zajdel
Page(s): 2163 - 2175

26. Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data
Author(s): Takuya Konishi; Takatomi Kubo; Kazuho Watanabe; Kazushi Ikeda
Page(s): 2176 - 2181

27. Hyperparameter Selection for Gaussian Process One-Class Classification
Author(s): Yingchao Xiao; Huangang Wang; Wenli Xu
Page(s): 2182 - 2187

28. Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks
Author(s): Ruibin Feng; Chi-Sing Leung; John Sum; Yi Xiao
Page(s): 2188 - 2193

29. A Unified Framework for Data Visualization and Coclustering
Author(s): Lazhar Labiod; Mohamed Nadif
Page(s): 2194 - 2199

30. Discriminative Hierarchical K-Means Tree for Large-Scale Image Classification
Author(s): Shizhi Chen; Xiaodong Yang; Yingli Tian
Page(s): 2200 - 2205

31. Retargeted Least Squares Regression Algorithm
Author(s): Xu-Yao Zhang; Lingfeng Wang; Shiming Xiang; Cheng-Lin Liu
Page(s): 2206 - 2213

32. Online Sequential Extreme Learning Machine With Kernels
Author(s): Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini
Page(s): 2214 - 2220

Neural Networks Volume 70, Pages 1-102, October 2015

1. Discriminative clustering via extreme learning machine
Author(s): Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu
Pages: 1-8

2. Realization problem of multi-layer cellular neural networks
Author(s): Jung-Chao Ban, Chih-Hung Chang
Pages: 9-17

3. Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series
Author(s): Adam Vaughan, Stanislav V. Bohac
Pages: 18-26

4. Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach
Author(s): A. Chandrasekar, R. Rakkiyappan, Jinde Cao
Pages: 27-38

5. Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs
Author(s): Shounak Datta, Swagatam Das
Pages: 39-52

6. Robustness analysis of uncertain dynamical neural networks with multiple time delays
Author(s): Sibel Senan
Pages: 53-60

7. Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine
Author(s): Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Pages: 61-73

8. Finite time stabilization of delayed neural networks
Author(s): Leimin Wang, Yi Shen, Zhixia Ding
Pages: 74-80

9. Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays
Author(s): Weiqiang Gong, Jinling Liang, Jinde Cao
Pages: 81-89

10. Maximum margin semi-supervised learning with irrelevant data
Author(s): Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
Pages: 90-102

Evolving Systems Volume 6, Issue 3, September 2015

1. An agile FCM for real-time modeling of dynamic and real-life systems
Author(s): O. Motlagh, Z. Jamaludin, S. H. Tang, W. Khaksar
Pages: 153-165

2. Object tracking based on the somatosensory system
Author(s): Mohamed Tahar Abdelkrim, Hayet Farida Merouani, Zoubida Benhammadi
Pages: 167-175

3. Comparing typhoon intensity prediction with two different artificial intelligence models
Author(s): Tahereh Haghroosta, Wan Ruslan Ismail
Pages: 177-185

4. Addressing concept drift to improve system availability by updating one-class data-driven models
Author(s): Ahmad Alzghoul, Magnus Löfstrand
Pages: 187-198

5. Modified handoff algorithm for providing optimization in heterogeneous wireless networks
Author(s): T. Velmurugan, Sibaram Khara, B. Basavaraj
Pages: 199-208

6. The power laws: Zipf and inverse Zipf for automated segmentation and classification of masses within mammograms
Author(s): Meriem Hamoud, Hayet Farida Merouani, Lakhder Laimeche
Pages: 209-227