Tuesday 24 October 2017

CFP: 2018 IEEE Conference on Computational Intelligence and Games

Maastricht University - Department of Data Science & Knowledge Engineering, Maastricht, The Netherlands, August 14-17, 2018

Conference Description

Computer games offer not only a killer application for computational intelligence (CI), machine learning and search, but also provide a compelling domain in which problem solving and decision making meet artifact creation, to provide highly immersive, complex and rich interaction experiences.

Additionally, CI methods promise to have a huge impact on game technology and development, assisting designers and developers, and enabling new types of games.

The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry, to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in this exciting and expanding field.

The topics of interest include, but are not limited to:

  • Machine-learning in games
  • Adversarial search
  • Player/opponent modeling
  • AI in education
  • Emotion recognition in game-play
  • CI/AI-based game design
  • Affective modeling
  • Player experience
  • Procedural content generation
  • Game generation
  • Intelligent interactive narrative
  • Character development and narrative
  • CI/AI for virtual cinematography
  • Multi-agent and multi-strategy learning 
  • Applications of game theory 
  • General game playing 
  • Serious games

Paper submission types

Full papers: Full papers should be submitted by March 15. Full papers have an 8 page limit, and should constitute a technical or empirical contribution to CI/AI in games and be accompanied by an appropriate evaluation of the work. In addition to regular paper submissions the conference offers four alternative types of paper submission: competition, vision, short and demo papers.

Competition papers: These are regular papers (up to 8 pages) that describe one or more entries to the competitions that are running at this year's CIG. Competition papers need to include evaluation of the contribution, including (if possible) results on the same benchmark as that used by the competition, and comparison to other competition entries. Because the problem domain is well-known, these papers can be reviewed faster than regular papers. The same quality standards will apply to competition papers as to regular papers. Competition papers should be submitted by May 15, 2018.

Vision papers: These are regular papers (up to 8 pages) describing a vision for the future of the field of computational intelligence and games or some part of it. These papers need to be based on existing literature, be well-written and well argued. In cases where a paper describes a particular technique or domain, the paper should include a survey of that field; all papers should include extensive bibliographies. Papers should not revolve around any particular set of experiments, and need not contain any new empirical results, but are encouraged to outline ambitious future work. The quality standards applied to vision papers are at least as high as for other conference papers. Vision papers should be submitted by May 15, 2018.

Short papers: Short papers (2-4 pages): describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. Any topic related to AI and games is welcome. Short papers should be submitted by May 15, 2018.

Demos: Demo submissions should be in the form of a 2-page extended abstract. The submission needs to accompany a demonstration of CI in games. The demo event of IEEE CIG 2018 will showcase the latest CI/AI tools, techniques, and systems created for games by academic or industrial research groups. Demos should be submitted by May 15, 2018.

Author guidelines: All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html
All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. Short papers will be allocated poster presentations and short oral presentations if time and space permits; vision papers will be allocated regular oral presentation slots; competition papers will be allocated short or regular oral presentation. Reviewing standards for competition papers are as high as for regular CIG papers, and standards for vision papers are higher.

Important Dates

  • January 15, 2018: Competitions/Tutorials/Panels/Special Sessions proposals 
  • February 1, 2018: Notification of Competitions/Tutorials/Panels/Special Sessions acceptance 
  • March 1, 2018: Abstract submission deadline 
  • March 15, 2018: Paper submission deadline 
  • May 1, 2018: Notification of acceptance 
  • May 15, 2018: Competition/Vision/Demo/Short paper submission deadline 
  • June 1, 2018:  Final paper submission deadline 
  • June 15, 2018: Early bird (and author) registration deadline 
  • August 14, 2018: Conference begins

Organizing Committee

  • General Chair: Mark Winands (Maastricht University) 
  • Program Chairs: Yngvi Bjˆrnsson (ReykjavÌk University), Jialin Liu (Queen Mary University of London), Mike Preuss (ERCIS, WWU M¸nster) 
  • Proceedings Chair: Cameron Browne (RIKEN Institute) 
  • Tutorial and Keynote Chair: Stylianos (Stelios) Asteriadis (Maastricht University) 
  • Special Session Chair: Santiago OntaÒÛn (Drexel University) 
  • Competition Chair: Diego Perez (University of Essex) 
  • Finance Chair: Gerasimos Spanakis (Maastricht University) and Kostas Karpouzis (National Technical University of Athens) 
  • Publicity Chair: Mirela Popa (Maastricht University)  
  • Local Arrangement Chair: Chiara Sironi (Maastricht University) and Enrique Hortal Quesada (Maastricht University)

Monday 23 October 2017

IEEE CIS Student Competition (deadline extension)


IEEE CIS Student Competition

Telling a Story: How your Computational Intelligence Research benefits society and Humanity

We are pleased to announce the 2016 Edition of the CIS Interactive Web Learning Systems Competition designed to encourage IEEE CIS student members to develop Web-based Applications to teach elements of fuzzy logic, neural networks, genetic algorithms or any other computational intelligence (CI) topic to young people (ages 14-16) or to non-subject-specialist professionals.
The application should cover the teaching of any of the above aspects of CI. It may also be an interactive demo to solve a real life problem, such as the Knapsack Problem. Actually, this problem has very important "real-life" applications, as it was recently shown by the MythBusters in a recent episode on First-Person Shooters Games: so, optimizing the Knapsack problem with respect to what weapon should you carry can give you "real-life" advantage in video gaming. ☺
Other examples can be found on the IEEE Pre-College Activities Website.
The Student Competition is jointly organized by the IEEE CIS Student Activities and the IEEE CIS Competitions Sub-committees.

How to register a group

  • A IEEE CIS student member has to register at this page (if not already registered)
  • After the login, you can register a group for the 2017-edition by pressing on the button Register for a competition
  • Insert the name of the other members or just press Sign in if you are the only member
  • Your group is now registered for the competition!

Important Dates

  • Opening Date: May 1, 2017
  • Closing Date: October 1, 2017     November 11, 2017
  • Announcement of Winners: Award ceremony at IEEE SSCI 2017, in Hawai November 27-December 1,2017


  • 1st prize - 500USD
  • 2nd prize - 300USD
  • 3rd prize - 200USD

Keeley Crockett, Chair - IEEE CIS Student Activities Subcommittee
Professor Guilherme DeSouza ,Vice Chair - IEEE CIS Student Activities Subcommittee
Vinit Kumar Gunjan ,Member - IEEE CIS Student Activities Subcommittee

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

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

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

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

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

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

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

7. Inference and Learning in Evidential Discrete Latent Markov Models
Author(s): E. Ramasso
Page(s): 1102-1114

8. Granular Encoders and Decoders: A Study in Processing Information Granules
Author(s): X. Zhu, W. Pedrycz and Z. Li
Page(s): 1115-1126

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

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

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

12. The Entropy Value for ECG of the Sport Horses
Author(s): S. Atpınar, Z. Zararsız and M. Şengönül
Page(s): 1168-1174

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

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

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

16. Generalized Orthopair Fuzzy Sets
Author(s): R. R. Yager
Page(s): 1222-1230

17. A New Approach to Solve the Constrained OWA Aggregation Problem
Author(s): B. S. Ahn
Page(s): 1231-1238

18. Large Scale Document Categorization With Fuzzy Clustering
Author(s): J. P. Mei, Y. Wang, L. Chen and C. Miao
Page(s): 1239-1251

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

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

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

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

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

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

25. Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design
Author(s): W. Huang, S. K. Oh and W. Pedrycz
Page(s): 1329-1341

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

27. Do We Need Minimal Solutions of Fuzzy Relational Equations in Advance?
Author(s): E. Bartl and P. Prochazka
Page(s): 1356-1363

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

Monday 9 October 2017

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


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)


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


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


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


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.,

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:
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

2. A Collective Neurodynamic Approach to Distributed Constrained Optimization
Author(s): Qingshan Liu; Shaofu Yang; Jun Wang
Page(s): 1747 - 1758

3. Spectrum-Diverse Neuroevolution With Unified Neural Models
Author(s): Danilo Vasconcellos Vargas; Junichi Murata
Page(s): 1759 - 1773

4. Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
Author(s): Ghasem Ahmadi; Mohammad Teshnehlab
Page(s): 1774 - 1786

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

6. Understanding Social Causalities Behind Human Action Sequences
Author(s): Ruichu Cai; Zhenjie Zhang; Zhifeng Hao; Marianne Winslett
Page(s): 1801 - 1813

7. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
Author(s): Bilal Piot; Matthieu Geist; Olivier Pietquin
Page(s): 1814 - 1826

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

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

10. Shrinkage Degree in L2-Rescale Boosting for Regression
Author(s): Lin Xu; Shaobo Lin; Yao Wang; Zongben Xu
Page(s): 1851 - 1864

11. Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning
Author(s): Kazunori Iwata
Page(s): 1865 - 1877

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

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

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

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

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

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

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

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

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

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:
or directly by clicking on the individual paper URL below.

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

2. A Surrogate Assisted Approach for Single-Objective Bilevel Optimization
Md Monjurul Islam ; Hemant Kumar Singh ; Tapabrata Ray
Page(s): 681 - 696

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

4.DMOEA- εC : Decomposition-Based Multiobjective Evolutionary Algorithm With the ε -Constraint Framework
Jie Chen ; Juan Li ; Bin Xin
Page(s): 714 - 730

5. Opposition-Based Memetic Search for the Maximum Diversity Problem
Yangming Zhou ; Jin-Kao Hao ; Béatrice Duval
Page(s): 731 - 745

6. Simplify Your Covariance Matrix Adaptation Evolution Strategy
Hans-Georg Beyer ; Bernhard Sendhoff
Page(s): 746 - 759

7. Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems
Liang Feng ; Yew-Soon Ong ; Siwei Jiang ; Abhishek Gupta
Page(s): 760 - 772

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

9. Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
Qi Chen ; Mengjie Zhang ; Bing Xue
Page(s): 792 - 806

10. Improving Evolutionary Algorithms in a Continuous Domain by Monitoring the Population Midpoint
Jarosław Arabas ; Rafał Biedrzycki
Page(s): 807 - 812

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

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:
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

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

3. Kinematic Control of Redundant Manipulators Using Neural Networks
Author(s): Shuai Li; Yunong Zhang; Long Jin
Page(s): 2243 - 2254

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

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

6. Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks
Author(s): Tohru Nitta
Page(s): 2282 - 2293

7. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
Author(s): Xiaojun Chang; Yi Yang
Page(s): 2294 - 2305

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

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

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

11. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization
Author(s): Jianchao Fan; Jun Wang
Page(s): 2344 - 2356

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

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

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

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

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

17. LMI Conditions for Global Stability of Fractional-Order Neural Networks
Author(s): Shuo Zhang; Yongguang Yu; Junzhi Yu
Page(s): 2423 - 2433

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

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

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