Weekly Review 22 January 2016

Some interesting links that I Tweeted about in the last week:

1. Step-by-step tutorial for MS Azure ML environment: http://www.kdnuggets.com/2016/01/guide-azure-machine-learning-studio.html
2. ANN + GA foe FOREX trading, via @gcosma1 http://forexpost.org/determinants-of-exchange-rates/neural-network-genetic-algorithm-in-forex-trading/ … Fine as a tutorial, can think of several ways of doing this better...
3. How not to write about science: https://theconversation.com/how-not-to-write-about-science-52202 
4. The future of AI: http://www.datasciencecentral.com/profiles/blogs/the-future-of-artificial-intelligence-is-here - bad news for low-skilled workers
5. Tutorials on the Python machine learning toolkit scikit-learn http://www.kdnuggets.com/2016/01/scikit-learn-tutorials-introduction-classifiers.html 
6. Brief overview of fuzzy matching algorithms http://www.datasciencecentral.com/profiles/blogs/fuzzy-matching-algorithms-to-help-data-scientists-match-similar 
7. The unreasonable reputation of neural networks: http://thinkingmachines.mit.edu/blog/unreasonable-reputation-neural-networks 
8. AI will soon be putting middle-skilled workers out of a job - http://www.techrepublic.com/article/more-money-for-the-rich-fewer-jobs-for-everyone-else-the-price-of-the-coming-ai-revolution/?tag=nl.e101&s_cid=e101&ttag=e101&ftag=TRE684d531&utm_content=buffer8e45f&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer - bad news for clerks, sales, and support staff

Weekly Review 15 January 2016

Been away on my summer vacation the last few weeks, so not been able to blog much. Some interesting links that I Tweeted about since the last review a month ago:

1. Using machine learning in an NFL confidence pool http://theinstitute.ieee.org/ieee-roundup/opinions/ieee-roundup/how-to-use-machine-learning-to-beat-your-friends-in-an-nfl-confidence-pool
2. How eBay enterprise uses machine learning to detect fraudsters http://www.datanami.com/2015/12/21/tis-the-season-to-hunt-fraudsters-with-big-data/
3. Free data mining software:http://www.datasciencecentral.com/profiles/blogs/4-packages-for-data-analysis - R and Weka are there of course, hadn't heard of Orange before.
4. List of some real-world machine learning data sets: http://www.kdnuggets.com/2015/12/tour-real-world-machine-learning-problems.html The academic ones are all really well known (that is, old)
5. datasciencecentral.com/profiles/blogs/internet-of-things-selected-articles The Internet of Things is become really important in computational intelligence - so much data to model!
6. 15 words you shouldn't use if you want to sound smarter-I'd be happy if people stopped confusing "infer" and "imply" http://mashable.com/2015/05/03/words-eliminate-vocabulary/?utm_cid=p-disp-fb%23lHxBPJzBTRqW#kMQHWVmxvGqw
7. Big Data in agriculture - CI has a big role to play in agro/ecol data processing as well: http://www.datasciencecentral.com/profiles/blogs/big-data-in-agriculture-ddw2-1
8. Getting your paper noticed: http://blogs.nature.com/naturejobs/2016/01/06/five-top-tips-for-getting-your-paper-noticed … One of the five points is using social media: http://www.fasttrackimpact.com/#!Create-a-social-media-strategy-for-your-research-that-delivers-real-impact/hmlp3/564df9090cf20af044b924ca 
9. Bias is a potential problem in all data sets, not just Big Data: http://www.datanami.com/2016/01/08/beware-of-bias-in-big-data-feds-warn/ 
10. Applying ANN to proteomics: https://agenda.weforum.org/2015/12/how-machine-learning-helps-biologists-crack-lifes-secrets/ Something I was looking at about 15 years ago...
11. 5 papers on Deep Learning explained: http://www.kdnuggets.com/2016/01/more-arxiv-deep-learning-papers-explained.html 
12. Yahoo releases a 1.5 TB data set: https://thestack.com/cloud/2016/01/14/yahoo-news-dataset-artificial-intelligence-news-feed/
13. The differences between machine learning, machine intelligence, deep learning and AI: http://www.kdnuggets.com/2016/01/what-is-machine-intelligence-ml-deep-learning-ai.html
14. Finding whales in ocean photographs, a step-by-step tutorial: http://www.datasciencecentral.com/profiles/blogs/finding-whales-in-ocean-water-edge-detection-blob-processing-and
15. Deep learning projects on GitHub: http://www.kdnuggets.com/2016/01/top-10-deep-learning-github.html
16. Having kids is a disadvantage in a research career: http://www.sciencedaily.com/releases/2016/01/160111092607.htm - I'd rather have my daughter than a high-powered career
17. AI is set to wipe out a lot of casual and low-skilled jobs: http://www.spectator.co.uk/2016/01/i-robot-you-unemployed/
18. Machine Intelligence in the Real World-how companies go to market: http://techcrunch.com/2015/11/26/machine-intelligence-in-the-real-world/
19. Uploading a paper to http://academia.org  gives more citations over time: https://www.academia.edu/12297791/Open_Access_Meets_Discoverability_Citations_to_Articles_Posted_to_Academia.edu Can't cite a paper that can't be found

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 1, January 2016

1. Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms
Authors: Manas Kumar Jena; Subhransu Ranjan Samantaray
Page(s): 8 - 17

2. Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier
Authors: Guanyu Lai; Zhi Liu; Yun Zhang
Page(s): 18 - 31

3. Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection
Authors: Xi Yang; Xinbo Gao; Dacheng Tao
Page(s): 32 - 46

4. Learning Subspace-Based RBFNN Using Coevolutionary Algorithm for Complex Classification Tasks
Authors: Jin Tian; Minqiang Li; Fuzan Chen
Page(s): 47 - 61

5. A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting
Authors: Souhaib Ben Taieb; Amir F. Atiya
Page(s): 62 - 76

6. Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays
Authors: Jia Wang; Xian-Ming Zhang; Qing-Long Han
Page(s): 77 - 88

7. Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form
Authors: Bing Chen; Huaguang Zhang; Chong Lin
Page(s): 89 - 98

8. Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines
Authors: Christos Kyrkou; Christos-Savvas Bouganis; Theocharis Theocharides; Marios M. Polycarpou
Page(s): 99 - 112

9. A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps
Authors: Sarwar Tapan; Dianhui Wang
Page(s): 113 - 124

10. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
Authors: Maoguo Gong; Jiaojiao Zhao; Jia Liu; Qiguang Miao; Licheng Jiao
Page(s): 125 - 138

11. A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input
Authors: Yan-Jun Liu; Ying Gao; Shaocheng Tong; C. L. Philip Chen
Page(s): 139 - 150

12. Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems
Authors: Avimanyu Sahoo; Hao Xu; Sarangapani Jagannathan
Page(s): 151 - 164

13. Adaptive Actor–Critic Design-Based Integral Sliding-Mode Control for Partially Unknown Nonlinear Systems With Input Disturbances
Authors: Quan-Yong Fan; Guang-Hong Yang
Page(s): 165 - 177

14. Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients
Authors: Yao Chen; Daniel W. C. Ho; Jinhu Lü; Zongli Lin
Page(s): 178 - 189

15. Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
Authors: Haibo Bao; Ju H. Park; Jinde Cao
Page(s): 190 - 201

16. Mirror Inverse Operations in Linear Nearest Neighbors Using Dynamic Learning Algorithm
Authors: Rudrayya C. Garigipati; Preethika Kumar
Page(s): 202 - 207

Weekly Review 19 December 2015

Some interesting links that I Tweeted about this week:

1. 10 Deep Learning Tips & Tricks http://www.kdnuggets.com/2015/12/top-10-deep-learning-tips-tricks.html These apply to most learning systems, especially cross-validation of data.
2. Is coding ability mostly down to natural aptitude? http://mikehadlow.blogspot.co.nz/2015/12/learn-to-code-its-harder-than-you-think.html I've always found it easy, but have seen so many others struggle
3. Top 10 machine learning projects on GitHub http://www.kdnuggets.com/2015/12/top-10-machine-learning-github.html 
4. Deep learning and topological data analysis https://www.linkedin.com/pulse/6-crazy-things-deep-learning-topological-data-can-do-your-kibardin 
5. Improvements to Google's TensorFlow open source machine learning package: http://www.kdnuggets.com/2015/12/update-google-tensorflow-deep-learning-is-improving.html
6. 33 Big Data predictions for 2016: http://www.datanami.com/2015/12/15/industry-speaks-top-33-big-data-predictions-for-2016/ 
7. Updated list of 50 deep learning tools: http://www.kdnuggets.com/2015/12/deep-learning-tools.html

Neural Networks, Volume 74, Pages 1-100, February 2016

1. Pixel classification based color image segmentation using quaternion exponent moments  
Pages: 1-13
Authors: Xiang-Yang Wang, Zhi-Fang Wu, Liang Chen, Hong-Liang Zheng, Hong-Ying Yang

2. TWSVR: Regression via Twin Support Vector Machine  
Pages: 14-21
Authors: Reshma Khemchandani, Keshav Goyal, Suresh Chandra

3. SIM-ELM: Connecting the ELM model with similarity-function learning  
Pages: 22-34
Authors: Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino

4. Behavioral plasticity through the modulation of switch neurons  
Pages: 35-51
Authors: Vassilis Vassiliades, Chris Christodoulou

5. Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies  
Pages: 52-57
Authors: Aijuan Wang, Tao Dong, Xiaofeng Liao

6. Stability of discrete time recurrent neural networks and nonlinear optimization problems  
Pages: 58-72
Authors: Jayant Singh, Nikita Barabanov

7. Boundedness, Mittag-Leffler stability and asymptotical image -periodicity of fractional-order fuzzy neural networks  
Pages: 73-84
Authors: Ailong Wu, Zhigang Zeng

8. Non-fragile image synchronization of memristor-based neural networks using passivity theory  
Pages: 85-100
Authors: K. Mathiyalagan, R. Anbuvithya, R. Sakthivel, Ju H. Park, P. Prakash

Weekly Review 12 December 2015

Some interesting links that I Tweeted about this week:

• 5 open-source ML systems from big companies: http://www.datasciencecentral.com/profiles/blogs/5-machine-learning-open-source-projects-from-top-internet
• Facebook open sources its AI hardware design: https://code.facebook.com/posts/1687861518126048/facebook-to-open-source-ai-hardware-design/ … not sure how AI this is, however.
• Cloud-based training of deep-learning neural networks: http://www.datanami.com/2015/12/07/10027/ 
• List of 20 big data repositories http://www.datasciencecentral.com/profiles/blogs/20-big-data-repositories-you-should-check-out-1 
• 20 lessons from building machine learning systems http://www.kdnuggets.com/2015/12/xamat-20-lessons-building-machine-learning-systems.html
• Doctor Andy's Rule Language (DARL) for creating fuzzy systems http://www.docandys.com/  How does this compare to FML? https://en.wikipedia.org/wiki/Fuzzy_markup_language
• Top machine learning algorithms over time http://www.datasciencecentral.com/profiles/blogs/top-10-machine-learning-algorithms
• Detecting how wet a road is using a microphone and deep learning http://arxiv.org/pdf/1511.07035v2.pdf
• List of 50 machine learning API http://www.kdnuggets.com/2015/12/machine-learning-data-science-apis.html

Neural Networks Volume 72 , Pages: 1-168, December 2015

Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition
Edited by Jeffrey L. Krichmar, Jörg Conradt and Minoru Asada

1. Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition  
Pages: 1-2
Author(s): Jeffrey L. Krichmar, Jörg Conradt, Minoru Asada

2. Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information  
Pages: 3-12
Author(s): Soeren Strauss, Philip J.W. Woodgate, Saber A. Sami, Dietmar Heinke

3. Modeling human target reaching with an adaptive observer implemented with dynamic neural fields  
Pages: 13-30
Author(s): Farzaneh S. Fard, Paul Hollensen, Dietmar Heinke, Thomas P. Trappenberg

4. Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot  
Pages: 31-47
Author(s): Kristsana Seepanomwan, Daniele Caligiore, Angelo Cangelosi, Gianluca Baldassarre

5. Bio-inspired homogeneous multi-scale place recognition  
Pages: 48-61
Zetao Chen, Stephanie Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford

6. Goal-oriented robot navigation learning using a multi-scale space representation  
Pages: 62-74
Author(s): M. Llofriu, G. Tejera, M. Contreras, T. Pelc, J.M. Fellous, A. Weitzenfeld

7. A GPU-accelerated cortical neural network model for visually guided robot navigation  
Pages: 75-87
Author(s): Michael Beyeler, Nicolas Oros, Nikil Dutt, Jeffrey L. Krichmar

8. An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X  
Pages: 88-108
Author(s): Giovanni Maffei, Diogo Santos-Pata, Encarni Marcos, Marti Sánchez-Fibla, Paul F.M.J. Verschure

9. Development of compositional and contextual communicable congruence in robots by using dynamic neural network models  
Pages: 109-122
Author(s): Gibeom Park, Jun Tani

10. Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning  
Pages: 123-139
Author(s): Emanuel Sousa, Wolfram Erlhagen, Flora Ferreira, Estela Bicho

11. Multimodal emotional state recognition using sequence-dependent deep hierarchical features  
Pages: 140-151
Author(s): Pablo Barros, Doreen Jirak, Cornelius Weber, Stefan Wermter

12. Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks  
Pages: 152-167
Author(s): Florian Walter, Florian Röhrbein, Alois Knoll

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