Tuesday, 17 October 2017

IEEE Computational Intelligence Magazine, Nov 2017 Issue

Dear IEEE Computational Intelligence Society Member:

We are pleased to offer you the November 2017 issue of the IEEE Computational Intelligence Magazine in digital form. This is part of ongoing efforts by the society to increase the value of the magazine to our readers.


Click here to read the magazine in your browser

Click here to download the magazine to your computer


November 2017 Features

Robust Design of a Supersonic Natural Laminar Flow Wing-Body
by Domenico Quagliarella and Emiliano Iuliano 
Modelling Behaviour in UAV Operations Using Higher Order Double Chain Markov Modelsby Víctor Rodríguez-Fernández, Antonio Gonzalez-Pardo and David Camacho

An Intelligent Packing Programming for Space Station Extravehicular Missionsby Yuehe Zhu, Yazhong Luo, Kay Chen Tan, and Xin Qiu

Knowledge Transfer Through Machine Learning in Aircraft Designby Alan Tan Wei Min, Ramon Sagarna, Abhishek Gupta, Yew-Soon Ong, and Chi Keong Goh

Research Frontier
Benchmarking Ensemble Classifiers with Novel Co-Trained Kernel Ridge Regression and Random Vector Functional Link Ensembles
by Le Zhang and Ponnuthurai Nagaratnam Suganthan

Education Forum
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
by Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin

How to Read Many-Objective Solution Sets in Parallel Coordinatesby Miqing Li, Liangli Zhen, and Xin Yao

Book Reviewby Nikhil R Pal

Hisao Ishibuchi
Editor-in-Chief

Monday, 16 October 2017

IEEE Transaction on Fuzzy System, Volume 25, Issue 5, October 2017

1. A Unification of Intuitionistic Fuzzy Calculus Theories Based on Subtraction Derivatives and Division Derivatives
Author(s): Q. Lei and Z. Xu
Page(s): 1023-1040
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7519036&isnumber=8057897

2. Hybrid Fuzzy Adaptive Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems With Unmeasured States
Author(s): H. Zhang, Y. Cui and Y. Wang
Page(s): 1041-1050
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517407&isnumber=8057897

3. Fuzzy Fault Detection Filter Design for T–S Fuzzy Systems in the Finite-Frequency Domain
Author(s): A. Chibani, M. Chadli, P. Shi and N. B. Braiek
Page(s): 1051-1061
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7519034&isnumber=8057897

4. Adaptive Fuzzy Hierarchical Sliding-Mode Control for a Class of MIMO Nonlinear Time-Delay Systems With Input Saturation
Author(s): X. Zhao, H. Yang, W. Xia and X. Wang
Page(s): 1062-1077
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7523339&isnumber=8057897

5. Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy
Author(s): J. A. Morente-Molinera, J. Mezei, C. Carlsson and E. Herrera-Viedma
Page(s): 1078-1089
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7523323&isnumber=8057897

6. Backstepping Fuzzy Adaptive Control for a Class of Quantized Nonlinear Systems
Author(s): W. Liu, C. C. Lim, P. Shi and S. Xu
Page(s): 1090-1101
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534836&isnumber=8057897

7. Inference and Learning in Evidential Discrete Latent Markov Models
Author(s): E. Ramasso
Page(s): 1102-1114
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534767&isnumber=8057897

8. Granular Encoders and Decoders: A Study in Processing Information Granules
Author(s): X. Zhu, W. Pedrycz and Z. Li
Page(s): 1115-1126
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534746&isnumber=8057897

9. Optimal-Vector-Based Algorithm for Solving Min-Max Programming Subject to Addition-Min Fuzzy Relation Inequality
Author(s): X. P. Yang
Page(s): 1127-1140
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534786&isnumber=8057897

10. Integrated Design of Fault-Tolerant Control for Nonlinear Systems Based on Fault Estimation and T–S Fuzzy Modeling
Author(s): J. Lan and R. J. Patton
Page(s): 1141-1154
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539310&isnumber=8057897

11. Dynamic Output Feedback Control for Continuous-Time T–S Fuzzy Systems Using Fuzzy Lyapunov Functions
Author(s): Y. Liu, F. Wu and X. Ban
Page(s): 1155-1167
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7542129&isnumber=8057897

12. The Entropy Value for ECG of the Sport Horses
Author(s): S. Atpınar, Z. Zararsız and M. Şengönül
Page(s): 1168-1174
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7562533&isnumber=8057897

13. An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks
Author(s): M. Pratama, J. Lu, E. Lughofer, G. Zhang and M. J. Er
Page(s): 1175-1192
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7542529&isnumber=8057897

14. Improving the Speed of Center of Sets Type Reduction in Interval Type-2 Fuzzy Systems by Eliminating the Need for Sorting
Author(s): M. A. Khanesar, A. J. Khakshour, O. Kaynak and H. Gao
Page(s): 1193-1206
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551199&isnumber=8057897

15. Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data
Author(s): T. Zhou, F. L. Chung and S. Wang
Page(s): 1207-1221
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555341&isnumber=8057897

16. Generalized Orthopair Fuzzy Sets
Author(s): R. R. Yager
Page(s): 1222-1230
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7556255&isnumber=8057897

17. A New Approach to Solve the Constrained OWA Aggregation Problem
Author(s): B. S. Ahn
Page(s): 1231-1238
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555342&isnumber=8057897

18. Large Scale Document Categorization With Fuzzy Clustering
Author(s): J. P. Mei, Y. Wang, L. Chen and C. Miao
Page(s): 1239-1251
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555373&isnumber=8057897

19. Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach
Author(s): C. Chen, Z. Liu, K. Xie, Y. Liu, Y. Zhang and C. L. P. Chen
Page(s): 1252-1263
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557068&isnumber=8057897

20. Fuzzy Color Spaces: A Conceptual Approach to Color Vision
Author(s): J. Chamorro-Martínez, J. M. Soto-Hidalgo, P. M. Martínez-Jiménez and D. Sánchez
Page(s): 1264-1280
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572922&isnumber=8057897

21. Multi-Instant Observer Design of Discrete-Time Fuzzy Systems: A Ranking-Based Switching Approach
Author(s): X. Xie, D. Yue and C. Peng
Page(s): 1281-1292
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572943&isnumber=8057897

22. Hybrid Robust Boundary and Fuzzy Control for Disturbance Attenuation of Nonlinear Coupled ODE-Beam Systems With Application to a Flexible Spacecraft
Author(s): S. Feng and H. N. Wu
Page(s): 1293-1305
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572986&isnumber=8057897

23. Exploiting Data Reliability and Fuzzy Clustering for Journal Ranking
Author(s): P. Su, C. Shang, T. Chen and Q. Shen
Page(s): 1306-1319
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7573001&isnumber=8057897

24. Input–Output Based Fault Estimation for T-S Fuzzy Systems With Local Nonlinear Parts
Author(s): S. J. Huang and G. H. Yang
Page(s): 1320-1328
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572939&isnumber=8057897

25. Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design
Author(s): W. Huang, S. K. Oh and W. Pedrycz
Page(s): 1329-1341
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572997&isnumber=8057897

26. Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models
Author(s): X. Hu, W. Pedrycz and X. Wang
Page(s): 1342-1355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7572964&isnumber=8057897

27. Do We Need Minimal Solutions of Fuzzy Relational Equations in Advance?
Author(s): E. Bartl and P. Prochazka
Page(s): 1356-1363
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539301&isnumber=8057897

28. T–S Fuzzy Model Identification Based on a Novel Hyperplane-Shaped Membership Function
Author(s): C. Li, J. Zhou, L. Chang, Z. Huang and Y. Zhang
Page(s): 1364-1370
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539311&isnumber=8057897

Monday, 9 October 2017

CFP: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) (Jan 20, 2018)

http://easyconferences.eu/eais2018/

The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in the exotic island of Rhodes (Greece) which has a beautiful medieval town built by the crusaders and it is preserved as UNESCO monument. A main characteristic of Rhodes is its long ancient history with many ancient Greek sites. Set against the historic backdrop of Rhodes island is the elegant and pisturesque lowrise architecture of Aldemar Amilia Mare Village, an all-inclusive seaside resort. Newly refurbished luxury rooms with sea or garden views are the perfect choice for all holidaymakers, from singles to families. Dive into crystal clear swimming pools, try a wide range of watersports at the beach, enjoy the Spa Centre with its fully equipped fitness area and sample the cosmopolitan delights of the themed restaurants.

EAIS 2018 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems.

Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams.

EAIS 2018 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society and the IEEE Computational Intelligence Society.


Special Session Proposals Deadline : 20th of December, 2017

Paper Submission Deadline : 20th of January, 2018

Decision Notification : 15th of February, 2018

Final Paper Submission Deadline : 25th of February, 2018

Authors Registration Deadline : To be announced

Conference : 25 - 27 May, 2018

Call for Special Sessions / Tutorials / Competitions / Workshops: IEEE World Congress on Computational Intelligence (WCCI 2018) (Dec 15)

http://www.ecomp.poli.br/~wcci2018/

Special Sessions

Special session proposals are invited to the 2018 IEEE WCCI. Special session proposals should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session, together with a short biography of all organizers. A list of potential contributors will be very helpful. All special sessions proposals should be submitted to the Special Sessions Chairs, according to the most appropriate topic:

Cesare Alippi (IJCNN) –alippi@elet.polimi.it

Patricia Melin (FUZZ-IEEE) –pmelin@tectijuana.mx

Chuan-Kang Ting (CEC) – ckting@cs.ccu.edu.tw

Mengjie Zhang (Cross-Disciplinary and CI Applications) – Mengjie.Zhang@ecs.vuw.ac.nz


Tutorials

The IEEE WCCI 2018 solicits proposals for tutorials aimed at researchers, students and practicing professionals. Tutorials offer a unique opportunity to disseminate in-depth information on specific topics in computational intelligence. If you are interested in proposing a tutorial, would like to recommend someone who might be interested, or have questions about tutorials, please contact the Tutorials Co-Chairs

Keeley Crocket – k.crockett@mmu.ac.uk

Andre Carvalho – andre@icmc.usp.br

Carmelo Filho – carmelo.filho@upe.br


Competitions

Prospective competition organizers are invited to submit their proposals to the Competitions Chairs below. A common website for all accepted competitions will be provided on the congress website, for which a link to the homepage of each competition maintained by their organizers independently will be provided.

Simon Lucas – sml@essex.ac.uk


Workshops

The IEEE WCCI 2018 invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below:

Richard Duro – Richard@udc.es

Robi Polikar – polikar@rowan.edu


Important Dates

Special Session & Workshop Proposals Deadline: December 15, 2017
Competition & Tutorial Proposals Deadline: December 15, 2017
Paper Submission Deadline: January 15, 2018
Paper Acceptance Notification Date: March 15, 2018
Final Paper Submission & Early Registration Deadline: May 1st, 2018
IEEE WCCI 2018: July 08-13, 2018

For more information on the congress, please visit: www.ieee-wcci.org

Sunday, 8 October 2017

Call for participation: IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, Japan (Oct 19-21)


The 4th IEEE International Conference on Data Science and Advanced
Analytics (DSAA 2017), which is also supported by ACM and ASA, will
take place in Tokyo, Japan, in October 19-21, 2017. Please plan to
participate. DSAA2017 will be an ideal place to learn the
state-of-the-art of Data Science and Advanced Analytics, meet people
to exchange ideas and find opportunities to job matching. DSAA2017 is
featured with two main Tracks (Research and Application), several
Special Tracks, Keynote talks, Trend & Controversies Panel, Invited
Industrial talks and Tutorials.

Please visit https://www.dslab.it.aoyama.ac.jp/dsaa2017/ for the
latest information.

- Date: October 19-21 2-5, 2017
- Location: Shinagawa Prince Hotel in Tokyo, Japan
- Advanced Registration and Accommodation: due to 10 September

Highlight Summary

Technical presentations: About 80 technical papers will be presented.
in Research track, Application track and Special Session track.

Keynote speech: Three distinguished speakers will deliver the keynote.

 Hiroaki Kitano (The Systems Biology Institute, Japan)
 Nobel Turing Challenge: Grand Challenge of AI, Robotics, and Systems Biology

 Michael I. Jordan (University of California, Berkeley, USA)
 On Computational Thinking, Inferential Thinking and Data Science

 Dr. Katharina J. Morik (TU Dortmund, Germany)
 Data Analytics for Data Science


Trend & Controversies Panel: One of unique highlights of DSAA. This
year's theme for discussion is "Trust". Specific focuses range from 1)
the privacy and transparency issue, 2) the fairness between those who
own the data and those who do not, 3) the discrimination caused by big
data analysis, 4) model generalization capability, i.e. How can we
trust the outcome of our mining results? How can we trust the model
used, e.g. deep learning, etc.?

Speakers and panelists include Dino Pedreschi (University of Pisa, Italy),
Katharina Morik (TU Dortmund, Germany), Hesuan-Tien Lin (National
Taiwan University and Appier, Taiwan), Ying Li (DataSpark Pte. Ltd., Singapore).

Invited Industrial Talks: Financial sponsors and selected speakers
from industries will give their visions on data science and data
analytics. Speakers include Yanjun Ma (Baidu, China),Wenuan Dai (The
4th Paradigm Data & Technology Co., Ltd., China), Kei Harada
(Financial Engineering Group).


Organizing Committee of DSAA2017

General Chairs

  Hiroshi Motoda (Osaka University, Japan)
  Fosca Giannotti (Inf. Sci. and Tech. Inst. of NRC at Pisa, Italy),
  Tomoyuki Higuchi (Inst. of Statistical Mathematics, Japan)

Program Chairs
 Research Track
  Takashi Washio (Osaka University, Japan)
  Joao Gama (University of Porto, Portugal)
 Application Track
  Ying Li ( DataSpark Pte. Ltd., Singapore)
  Rajesh Parekh (Facebook. USA)
 Special Session
  Huan Liu (Arizona State University, USA)
  Albert Bifet (Telecom ParisTech, France)
  Richards D. De Veaux (Williams College, USA)

T&C Panel Chairs
  Pau-Choo (Julia) Chung (National Cheng Kung University, Taiwan)
  Geoff Webb (Monash University, Australia)
  Philip Yu (University of Illinois at Chicago, USA)
  Bart Goethals (University of Antwerp, Belgium)

Invited Industry Talk Chairs
  Hang Li (Huawei Technologies, Hong Kong)
  Matsuo Yutaka (University of Tokyo, Japan)

Tutorial Chairs
  Vincent Tseng (National Chiao Tung University, Taiwan)
  Zhi-Hua Zhou (Nanjing University, Chian)

Best Paper Award Chair
  Bamshad Mobasher (DePaul University, USA)

Next Generation Data Scientist Award Chairs
  Kenji Yamanishi (University of Tokyo, Japan)
  Xin Wang (University of Calgary, Canada)

Travel Awards Chair
  Zhexue Huang (Shenzhen University, China)

Publicity Chairs
  Tu Bao Ho (Japan Advanced Inst. of Sci. & Technol., Japan)
  Diane Cook (Washington State University, USA)
  Marzena Kryszkiewicz (Warsaw University of Technol., Poland)

Local organizing chairs
  Satoshi Kurihara (University of Electro-Communications, Japan)
  Hiromitsu Hattori (Ritsumeikan University, Japan)

Publication Chair
 Toshihiro Kamishima (Nat. Inst. of Advanced Indust. Sci. & Technol.,
 Japan)

Web Chair
 Kouzuo Ohara (Aoyama Gakuin University, Japan)

Sponsorship Chairs
 Kiyoshi Izumi (University of Tokyo, Japan)
 Yoji Kiyota (LIFULL Co. Ltd., Japan)
 Tadashi Yanagihara (KDDI Research, Japan)
 Longbing Cao (University of Technology Sydney, Australia)
 Byeong Ho Kang (University of Tasmania, Australia)




Friday, 6 October 2017

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 8, August 2017.

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 8, August 2017.
Posted by: Haibo He (ieeetnnls@gmail.com)
Date submitted: August 1, 2017

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 8, August 2017.

This issue published papers on memristive neural networks, recurrent neural networks, manifold learning, reinforcement learning, complex networks,  causality analysis, adaptive dynamic programming,  among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 8, August 2017.

1. A Survey of Memristive Threshold Logic Circuits
Author(s): Akshay Kumar Maan; Deepthi Anirudhan Jayadevi; Alex Pappachen James
Page(s): 1734 - 1746
http://ieeexplore.ieee.org/document/7464347/

2. A Collective Neurodynamic Approach to Distributed Constrained Optimization
Author(s): Qingshan Liu; Shaofu Yang; Jun Wang
Page(s): 1747 - 1758
http://ieeexplore.ieee.org/document/7452624/

3. Spectrum-Diverse Neuroevolution With Unified Neural Models
Author(s): Danilo Vasconcellos Vargas; Junichi Murata
Page(s): 1759 - 1773
http://ieeexplore.ieee.org/document/7460958/

4. Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
Author(s): Ghasem Ahmadi; Mohammad Teshnehlab
Page(s): 1774 - 1786
http://ieeexplore.ieee.org/document/7460133/

5. MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation
Author(s): Xutao Li; Michael K. Ng; Gao Cong; Yunming Ye; Qingyao Wu
Page(s): 1787 - 1800
http://ieeexplore.ieee.org/document/7460200/

6. Understanding Social Causalities Behind Human Action Sequences
Author(s): Ruichu Cai; Zhenjie Zhang; Zhifeng Hao; Marianne Winslett
Page(s): 1801 - 1813
http://ieeexplore.ieee.org/document/7463496/

7. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
Author(s): Bilal Piot; Matthieu Geist; Olivier Pietquin
Page(s): 1814 - 1826
http://ieeexplore.ieee.org/document/7464854/

8. Passivity of Directed and Undirected Complex Dynamical Networks With Adaptive Coupling Weights
Author(s): Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-Yan Ren; Jigang Wu
Page(s): 1827 - 1839
http://ieeexplore.ieee.org/document/7465830/

9. Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays
Author(s): Ramasamy Saravanakumar; Muhammed Syed Ali; Choon Ki Ahn; Hamid Reza Karimi; Peng Shi
Page(s): 1840 - 1850
http://ieeexplore.ieee.org/document/7466838/

10. Shrinkage Degree in L2-Rescale Boosting for Regression
Author(s): Lin Xu; Shaobo Lin; Yao Wang; Zongben Xu
Page(s): 1851 - 1864
http://ieeexplore.ieee.org/document/7467568/

11. Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning
Author(s): Kazunori Iwata
Page(s): 1865 - 1877
http://ieeexplore.ieee.org/document/7468547/

12. Exponential Synchronization of Memristive Neural Networks With Delays: Interval Matrix Method
Author(s): Xinsong Yang; Jinde Cao; Jinling Liang
Page(s): 1878 - 1888
http://ieeexplore.ieee.org/document/7469328/

13. A Memristive Multilayer Cellular Neural Network With Applications to Image Processing
Author(s): Xiaofang Hu; Gang Feng; Shukai Duan; Lu Liu
Page(s): 1889 - 1901
http://ieeexplore.ieee.org/document/7469884/

14. An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
Author(s): Shen Yin; Hongyan Yang; Huijun Gao; Jianbin Qiu; Okyay Kaynak
Page(s): 1902 - 1913
http://ieeexplore.ieee.org/document/7470270/

15. Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems
Author(s): Zhongsheng Hou; Shida Liu; Taotao Tian
Page(s): 1914 - 1928
http://ieeexplore.ieee.org/document/7471518/

16. Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems
Author(s): Yongliang Yang; Donald Wunsch; Yixin Yin
Page(s): 1929 - 1940
http://ieeexplore.ieee.org/document/7839211/

17. Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints
Author(s): Lu Dong; Xiangnan Zhong; Changyin Sun; Haibo He
Page(s): 1941 - 1952
http://ieeexplore.ieee.org/document/7556990/

18. Dynamical Analysis of the Hindmarsh–Rose Neuron With Time Delays
Author(s): S. Lakshmanan; C. P. Lim; S. Nahavandi; M. Prakash; P. Balasubramaniam
Page(s): 1953 - 1958
http://ieeexplore.ieee.org/document/7478672/

19. Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions
Author(s): Sabato Marco Siniscalchi; Valerio Mario Salerno
Page(s): 1959 - 1965
http://ieeexplore.ieee.org/document/7452664/

20. Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities
Author(s): Koichi Kobayashi; Kunihiko Hiraishi
Page(s): 1966 - 1971
http://ieeexplore.ieee.org/document/7485899/

Tuesday, 3 October 2017

IEEE Transactions on Evolutionary Computation; Volume 21, Number 5, October 2017

The following articles appeared in the latest issue of the IEEE Transactions on Evolutionary Computation; Volume 21, Number 5, October 2017. They can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4235
or directly by clicking on the individual paper URL below.

Papers
1. A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains
Yong Wang ; Biao Xu ; Guangyong Sun ; Shengxiang Yang
Page(s): 665 - 680
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858752

2. A Surrogate Assisted Approach for Single-Objective Bilevel Optimization
Md Monjurul Islam ; Hemant Kumar Singh ; Tapabrata Ray
Page(s): 681 - 696
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858767

3. A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems
Wenyin Gong ; Yong Wang ; Zhihua Cai ; Shengxiang Yang
Page(s): 697 - 713
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879217

4.DMOEA- εC : Decomposition-Based Multiobjective Evolutionary Algorithm With the ε -Constraint Framework
Jie Chen ; Juan Li ; Bin Xin
Page(s): 714 - 730
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858787

5. Opposition-Based Memetic Search for the Maximum Diversity Problem
Yangming Zhou ; Jin-Kao Hao ; Béatrice Duval
Page(s): 731 - 745
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7864317

6. Simplify Your Covariance Matrix Adaptation Evolution Strategy
Hans-Georg Beyer ; Bernhard Sendhoff
Page(s): 746 - 759
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7875115

7. Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems
Liang Feng ; Yew-Soon Ong ; Siwei Jiang ; Abhishek Gupta
Page(s): 760 - 772
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879282

8. An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems
Feifei Zheng ; Aaron C. Zecchin ; Jeffery P. Newman ; Holger R. Maier ; Graeme C. Dandy
Page(s): 773 - 791
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879213

9. Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
Qi Chen ; Mengjie Zhang ; Bing Xue
Page(s): 792 - 806
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879832

10. Improving Evolutionary Algorithms in a Continuous Domain by Monitoring the Population Midpoint
Jarosław Arabas ; Rafał Biedrzycki
Page(s): 807 - 812
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862754

11. Bridging the Gap: Many-Objective Optimization and Informed Decision-Making
Kalyan Shankar Bhattacharjee ; Hemant Kumar Singh ; Michael Ryan ; Tapabrata Ray
Page(s): 813 - 820
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886299

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 10, October 2017.


The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 10, October 2017.

This issue published papers on recurrent neural network, restricted boltzmann machine, feature analysis, deep belief network, reinforcement learning, hopfield neural network, neuromorphic systems, fractional-order neural networks, nonnegative matrix factorization, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 10, October 2017.


1. LSTM: A Search Space Odyssey
Author(s): Klaus Greff; Rupesh K. Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber
Page(s): 2222 - 2232
http://ieeexplore.ieee.org/document/7508408/

2. A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization
Author(s): Yong Xu; Zuofeng Zhong; Jian Yang; Jane You; David Zhang
Page(s): 2233 - 2242
http://ieeexplore.ieee.org/document/7499803/

3. Kinematic Control of Redundant Manipulators Using Neural Networks
Author(s): Shuai Li; Yunong Zhang; Long Jin
Page(s): 2243 - 2254
http://ieeexplore.ieee.org/document/7499812/

4. Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning
Author(s): Lin Wang; Bo Yang; Yuehui Chen; Xiaoqian Zhang; Jeff Orchard
Page(s): 2255 - 2267
http://ieeexplore.ieee.org/document/7502076/

5. Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes
Author(s): Zhizhong Han; Zhenbao Liu; Junwei Han; Chi-Man Vong; Shuhui Bu; Chun Lung Philip Chen
Page(s): 2268 - 2281
http://ieeexplore.ieee.org/document/7502161/

6. Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks
Author(s): Tohru Nitta
Page(s): 2282 - 2293
http://ieeexplore.ieee.org/document/7502092/

7. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
Author(s): Xiaojun Chang; Yi Yang
Page(s): 2294 - 2305
http://ieeexplore.ieee.org/document/7506338/

8. Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Author(s): Chong Zhang; Pin Lim; A. K. Qin; Kay Chen Tan
Page(s): 2306 - 2318
http://ieeexplore.ieee.org/document/7508982/

9. Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks
Author(s): Yi-Fei Pu; Zhang Yi; Ji-Liu Zhou
Page(s): 2319 - 2333
http://ieeexplore.ieee.org/document/7513418/

10. Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control
Author(s): Shiping Wen; Zhigang Zeng; Michael Z. Q. Chen; Tingwen Huang
Page(s): 2334 - 2343
http://ieeexplore.ieee.org/document/7513419/

11. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization
Author(s): Jianchao Fan; Jun Wang
Page(s): 2344 - 2356
http://ieeexplore.ieee.org/document/7514996/

12. A Biologically Inspired Appearance Model for Robust Visual Tracking
Author(s): Shengping Zhang; Xiangyuan Lan; Hongxun Yao; Huiyu Zhou; Dacheng Tao; Xuelong Li
Page(s): 2357 - 2370
http://ieeexplore.ieee.org/document/7516592/

13. Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach
Author(s): Hao-Fan Yang; Tharam S. Dillon; Yi-Ping Phoebe Chen
Page(s): 2371 - 2381
http://ieeexplore.ieee.org/document/7517319/

14. Event-Based H∞ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises
Author(s): Li Sheng; Zidong Wang; Lei Zou; Fuad E. Alsaadi
Page(s): 2382 - 2394
http://ieeexplore.ieee.org/document/7517222/

15. Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation
Author(s): Ruibin Feng; Chi-Sing Leung; Anthony G. Constantinides; Wen-Jun Zeng
Page(s): 2395 - 2407
http://ieeexplore.ieee.org/document/7524002/

16. Hierarchical Address Event Routing for Reconfigurable Large-Scale Neuromorphic Systems
Author(s): Jongkil Park; Theodore Yu; Siddharth Joshi; Christoph Maier; Gert Cauwenberghs
Page(s): 2408 - 2422
http://ieeexplore.ieee.org/document/7526444/

17. LMI Conditions for Global Stability of Fractional-Order Neural Networks
Author(s): Shuo Zhang; Yongguang Yu; Junzhi Yu
Page(s): 2423 - 2433
http://ieeexplore.ieee.org/document/7529054/

18. Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games
Author(s): Jinna Li; Hamidreza Modares; Tianyou Chai; Frank L. Lewis; Lihua Xie
Page(s): 2434 - 2445
http://ieeexplore.ieee.org/document/7902130/

19. Observer-Based Discrete-Time Nonnegative Edge Synchronization of Networked Systems
Author(s): Housheng Su; Han Wu; Xia Chen
Page(s): 2446 - 2455
http://ieeexplore.ieee.org/document/7999295/

20. Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method
Author(s): Zhanshan Wang; Sanbo Ding; Qihe Shan; Huaguang Zhang
Page(s): 2456 - 2463
http://ieeexplore.ieee.org/document/7516646/

Monday, 2 October 2017

University Curricula Subcommittee

The CIS University Curricula Subcommittee intends to build up a collection of links to good quality courses on "everything CI". Are you teaching a CI course, and either some or all material can be accessed by interested learners free-of-charge? If this is the case, you are cordially invited to submit your course to the newly created subreddit. Or do you know of a great course? If so, then tell the teaching staff about this opportunity to (1) get some exposure and (2) contribute to the education of the general public!
Over time, this subreddit will contain educational material that can be used by everybody, for example, to learn about some cool CI technology from scratch, or to keep up-to-date with new trends. The dynamic nature of subreddits allows us to easily share details about courses, as well as to ask and answer questions. The subreddit will be lightly moderated by the Subcommittee, lead by Markus Wagner.

IEEE CIS Newsletter, Issue 57, October 2017

Check out the latest issue of the IEEE CIS Newsletter here: http://cis.ieee.org/index.php?option=com_acymailing&ctrl=archive&task=view&mailid=117&key=0ab562fc3ae1f96a528b2b687924290a&subid=21-a84a8b1118d244eca47d4494e9ab775e&tmpl=component

5 Minutes with Prof. Jerry Mendel


5 Minutes with Prof. Jerry Mendel

IEEE CIS Student Activities Subcommittee invites you to get to know the pioneers and experts in the Computational Intelligence. This month "5 minutes with..." focuses on pioneer Prof. Jerry Mendel.
  1. What is your title, full name, and place of work?
    Professor of Electrical Engineering (I will be Emeritus as of January 5, 2018), Jerry Marc Mendel, University of Southern California
  2. What grade of member in CIS are you?
    Life Fellow
  3. How long have you been a member of CIS?
    For as long as the CIS has existed.
  4. One reason why you are a member of CIS:
    My research interests match its coverage perfectly.
  5. What was your service pathway in the Computational Intelligence Society?
    My recollection is that it began with organizing sessions at FUZZ-IEEE, becoming a member and then Chair of the Fuzzy Systems TC, and then being asked to run for the AdCOM. I did and was very privileged to have served on it for 9 years. Meeting and being able to interact with AdCom members was a truly wonderful experience for me. My most fun project was being Chair of the committee that created and ran the first CIS competition to produce a short video that explained fuzzy sets and systems. We had two winners.
  6. Give one interesting fact about yourself:
    I am an avid Bridge player having played now for more than 55 years. I also read a lot of Bridge books.