Sunday 28 August 2016

Call for papers: IJCNN 2017

30th International Joint Conference on Neural Networks (IJCNN 2017)
May 14-19, 2017,  Anchorage, Alaska, USA

IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.

The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..."

For the latest updates, follow us on Facebook ( and Twitter (@ijcnn2017).

Important Dates

  • Special Session, Panel Sesion & Competition Proposals September 15, 2016
  • Tutorial and Workshop Proposals October 15, 2016
  • Paper Submission November 15, 2016
  • Paper Decision Notification January 20, 2017
  • Camera-Ready Submission February 20, 2017

Paper Submission is now Open

  • Regular paper can have up to 8 pages in double-column IEEE Conference format
  • All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size.
  • All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. 
  • Papers with significant overlap with the authors own papers or other papers will be rejected without review.

Call for Special Sessions

The IJCNN 2017 Program Committee solicits proposals for special sessions within the technical scopes of the conference. Special sessions, to be organized by international recognized experts, aim to bring together researchers focused in special, novel, and challenging topics. Fast-developing themes such as Deep Learning, Big Data, or applications to fields like chemistry, biology, computer games, robotics, etc. are examples.

Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the regular sessions. Researchers interested in organizing special sessions are invited to submit a formal proposal using the on-line form of the Special Sessions webpage. Due to large expected number of submissions, please do not directly email the information to the special session co-chairs Derong Liu, University of Chicago & Chinese Academy of Sciences. Beijing, and Tatiana Tambouratzis, University of Piraeus, Greece.

For further details, please refer to

Any questions regarding this proposal can be asked to the Special Session Chairs:
Derong Liu, University of Chicago, USA. E-mail:
Tatiana Tambouriatzis, University of Piraeus, Greece. E-mail:

Call for Competitions

Competitions have long been a valuable component of IJCNN, and have been extremely important over time in identifying breakthroughs (as has been the case with Deep Learning since 2008).

Detailed information can be found on the IJCNN 2017 website at

Contact Chair Juyang (John) Weng, Michigan State University, USA to set up a competition for IJCNN 2017.

Call for Panel Session

Panel sessions provide forums for lively, interactive discussions among world-leading experts in specific areas. Panel Session proposals are solicited in a broad range of areas related to NNs, including but not limited to the following: hot topics and challenges in NNS, such as Deep learning, Big Data, Brain-Computer Interfaces, new generation of AI; history of NNs, with special emphasis on the upcoming 30th birthday of INNS; government funding opportunities; outreach to industry and to sister societies, and many more.

Detailed information can be found on the IJCNN 2017 website at

Contact Chair Robert Kozma, Director of CLION, University of Memphis, Tennessee, USA to set up a panel for IJCNN 2017.

Topics and Areas of Interest

The range of topics covered include, but is not limited to, the following.
(See for a more detailed list of topics).
  • Deep learning
  • Neural network theory & models 
  • Computational neuroscience 
  • Cognitive models 
  • Brain-machine interfaces 
  • Embodied robotics 
  • Evolutionary neural systems 
  • Neurodynamics 
  • Neuroinformatics 
  • Neuroengineering 
  • Hardware, memristors 
  • Neural network applications 
  • Machine perception (vision, speech, ...) 
  • Social media 
  • Big data
  • Pattern recognition
  • Machine learning
  • Collective intelligence
  • Hybrid systems
  • Self-aware systems
  • Data mining
  • Sensor networks
  • Agent-based systems
  • Computational biology
  • Bioinformatics
  • Artificial life
  • Connectomics
  • Philosophical issues

Sponsoring Organizations

  • INNS - International Neural Network Society
  • IEEE - Computational Intelligence Society

Organizing Committee

The full organizing committee can be found at:

General Chair
  • Yoonsuck Choe, Texas A and M University, USA

Program Chair
  • Christina Jayne, Robert Gordon University, UK

Technical Co-Chairs
  • Irwin King, The Chinese University of Hong Kong, China
  • Barbara Hammer, University of Bielefeld, Germany

Sunday 21 August 2016

Call for Participants: IEEE CIBCB 2016

The annual IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2016) is a premier event in the areas of Computational Intelligence in Bioinformatics and Computational Biology. It will be held during the 5th to 7th October 2016 in Chiang Mai, Thailand. This conference will focus on all topics in Computational Intelligence in Bioinformatics and Computational Biology, including, but not limited to:
  • Computational Intelligence in Bioinformatics including
    • Gene expression array analysis
    • Structure prediction and folding
    • Molecular sequence alignment and analysis
    • Metabolic pathway analysis
    • MicroRNA analysis
    • Molecular evolution and phylogenetics
    • Pattern recognition in bioinformatics
    • Real-world applications
  • Computational Intelligence in Computational Biology including
    • Systems and synthetic biology
    • Modeling, simulation, and optimization of biological systems
    • Biological network reconstruction
    • Pattern recognition in computational biology
    • Real-world applications
  • Computational Intelligence in Biomedical Engineering including
    • Medical imaging and pattern recognition
    • Signal and image processing in biomedical engineering
    • Biomedical data modeling and mining
    • Biomedical model parameterization
    • Big data analysis and tools for biological and medical data
    • Biomarker discovery and development
    • Neuroscience
    • Real-world applications

Plenary Speakers

  • Byung-Jun Yoon, Ph.D., Texas A&M University: Department of Electrical and Computer Engineering. Title: Making Sense of Large-Scale Biological Networks - Computational Approaches for Comparative Network Analysis and Network Module Detection
  • Steven G. Rozen, Ph.D., Duke-NUS Medical School Singapore: Duke-NUS Centre for Computational Biology, Cancer and Stem Cell Biology Program. Title: Big Genome Data Sheds Light on Cancer Causes

Honorary Chairs
James M. Keller
University of Missouri-Columbia

Gary B. Fogel
Natural Selection, Inc.
General Chair
Sansanee Auephanwiriyakul
Chiang Mai University

Program Co-Chairs
Nipon Theera-Umpon
Chiang Mai University

Mihail Popescu
University of Missouri-Columbia

Patiwet Wuttisarnwattana
Chiang Mai University
Finance Chair
Sermsak Uatrongjit
Chiang Mai University
Local Arrangement Chair
Chaiy Rungsiyakull
Chiang Mai University
Web Development Chair
Sakgasit Ramingwong
Chiang Mai University
Publication Co-Chairs
Dome Potikanond
Chiang Mai University

For general inquiry, please contact
General chair Sansanee Auephanwiriyakul at

For program inquiry, please contact 
Program co-chair Nipon Theera-Umpon at

Wednesday 3 August 2016

IEEE Transactions on Evolutionary Computation, Volume 20, Number 4, August 2016

1. Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms
Author(s): Dhish Kumar Saxena ; Arnab Sinha ; João A. Duro ; Qingfu Zhang
Page(s): 485 - 498

2. A Hybrid Multiobjective Memetic Metaheuristic for Multiple Sequence Alignment
Author(s): Álvaro Rubio-Largo ; Miguel A. Vega-Rodríguez ; David L. González-Álvarez
Page(s): 499 - 514

3. An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization
Author(s): Kalyanmoy Deb ; Mohamed Abouhawwash
Page(s): 515 - 528

4. The Effects of Developer Dynamics on Fitness in an Evolutionary Ecosystem Model of the App Store
Author(s): Soo Ling Lim ; Peter J. Bentley ; Fuyuki Ishikawa
Page(s): 529 - 545

5. Subpermutation-Based Evolutionary Multiobjective Algorithm for Load Restoration in Power Distribution Networks
Author(s): Eduardo Gontijo Carrano ; Gisele P. da Silva ; Edgard P. Cardoso ; Ricardo H. C. Takahashi
Page(s): 546 - 562

6. A Primary Theoretical Study on Decomposition-Based Multiobjective Evolutionary Algorithms
Author(s): Yuan-Long Li ; Yu-Ren Zhou ; Zhi-Hui Zhan ; Jun Zhang
Page(s): 563 - 576

7. Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution
Author(s): Michael Fenton ; Ciaran McNally ; Jonathan Byrne ; Erik Hemberg ; James McDermott ; Michael O’Neill
Page(s): 577 - 589

8. An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima
Author(s): Changhe Li ; Trung Thanh Nguyen ; Ming Yang ; Michalis Mavrovouniotis ; Shengxiang Yang
Page(s): 590 - 605

9. A Survey on Evolutionary Computation Approaches to Feature Selection
Author(s): Bing Xue ; Mengjie Zhang ; Will N. Browne ; Xin Yao
Page(s): 606 - 626

10. An Enhanced Genetic Algorithm for Ab Initio Protein Structure Prediction
Author(s): Mahmood A. Rashid ; Firas Khatib ; Md Tamjidul Hoque ; Abdul Sattar
Page(s): 627 - 644

IEEE Transactions on Fuzzy Systems, Volume 24, Issue 1, 2016

1. Representing Uncertainty With Information Sets
Author(s):  Manish Aggarwal ; Madasu Hanmandlu
Page(s):  1 - 15

2. Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone
Author(s):  Yan-Jun Liu ; Ying Gao ; Shaocheng Tong ; Yongming Li
Page(s):  16 - 28

3. Probabilistic Variable Precision Fuzzy Rough Sets
Author(s):  Manish Aggarwal
Page(s):  29 - 39

4. A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects
Author(s):  Jesús Alcalá-Fdez ; José M. Alonso
Page(s):  40 - 56

5. Adaptive Fuzzy Control of Multilateral Asymmetric Teleoperation for Coordinated Multiple Mobile Manipulators
Author(s):  Di-Hua Zhai ; Yuanqing Xia
Page(s):  57 - 70

6. Learning of Fuzzy Cognitive Maps With Varying Densities Using A Multiobjective Evolutionary Algorithm
Author(s):  Yaxiong Chi ; Jing Liu
Page(s):  71 - 81

7. The Multiplicative Consistency Index of Hesitant Fuzzy Preference Relation
Author(s):  Haifeng Liu ; Zeshui Xu ; Huchang Liao
Page(s):  82 - 93

8. A New Sum-of-Squares Design Framework for Robust Control of Polynomial Fuzzy Systems With Uncertainties
Author(s):  Kazuo Tanaka ; Motoyasu Tanaka ; Ying-Jen Chen ; Hua O. Wang
Page(s):  94 - 110

9. Min-Max Programming Problem Subject to Addition-Min Fuzzy Relation Inequalities
Author(s):  Xiao-Peng Yang ; Xue-Gang Zhou ; Bing-Yuan Cao
Page(s):  111 - 119

10. Design of Fuzzy Cognitive Maps for Modeling Time Series
Author(s):  Witold Pedrycz ; Agnieszka Jastrzebska ; Wladyslaw Homenda
Page(s):  120 - 130

11. A Categorical Isomorphism Between Injective Stratified Fuzzy T_{bm 0} Spaces and Fuzzy Continuous Lattices
Author(s):  Wei Yao
Page(s):  131 - 139

12. Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis
Author(s):  Fang Wang ; Zhi Liu ; Yun Zhang ; C. L. Philip Chen
Page(s):  140 - 152

13. Recurrent Fuzzy Neural Cerebellar Model Articulation Network Fault-Tolerant Control of Six-Phase Permanent Magnet Synchronous Motor Position Servo Drive
Author(s):  Faa-Jeng Lin ; I-Fan Sun ; Kai-Jie Yang ; Jin-Kuan Chang
Page(s):  153 - 167

14. OWA Generation Function and Some Adjustment Methods for OWA Operators With Application
Author(s):  LeSheng Jin ; Gang Qian
Page(s):  168 - 178

15. A Historical Account of Types of Fuzzy Sets and Their Relationships
Author(s):  Humberto Bustince ; Edurne Barrenechea ; Miguel Pagola ; Javier Fernandez ; Zeshui Xu ; Benjamin Bedregal ; Javier Montero ; Hani Hagras ; Francisco Herrera ; Bernard De Baets
Page(s):  179 - 194

16. Fuzzy Membership Descriptors for Images
Author(s):  Mohit Kumar ; Norbert Stoll ; Kerstin Thurow ; Regina Stoll
Page(s):  195 - 207

17. Robust Fuzzy  H_{\infty } Estimator-Based Stabilization Design for Nonlinear Parabolic Partial Differential Systems With Different Boundary Conditions
Author(s):  Shih-Ju Ho ; Bor-Sen Chen
Page(s):  208 - 222

18. Fuzzy Adaptive Output Feedback Fault-Tolerant Tracking Control of a Class of Uncertain Nonlinear Systems With Nonaffine Nonlinear Faults
Author(s):  Yuan-Xin Li ; Guang-Hong Yang
Page(s):  223 - 234

19. Control of Switched Nonlinear Systems via T–S Fuzzy Modeling
Author(s):  Xudong Zhao ; Yunfei Yin ; Lixian Zhang ; Haijiao Yang
Page(s):  235 - 241

20. Ambiguity-Based Multiclass Active Learning
Author(s):  Ran Wang ; Chi-Yin Chow ; Sam Kwong
Page(s):  242 - 248

21. Comments on "Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship"
Author(s):  Jerry M. Mendel ; Hani Hagras ; Humberto Bustince ; Francisco Herrera
Page(s):  249 - 250

Tuesday 2 August 2016

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 8, August 2016

1. Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid"
Author: Dipti Srinivasan; Ganesh Kumar Venayagamoorthy
Page(s): 1601 - 1603

2. Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach Metrics by Information Projection
Authors: Liang Hu; Zidong Wang; Xiaohui Liu
Page(s): 1604 - 1614

3. Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph Metrics by Information Projection
Authors: Chunling Dong; Yue Zhao; Qin Zhang
Page(s): 1615 - 1630

4. Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms
Authors: Bhargav Y. Vyas; Biswarup Das; Rudra Prakash Maheshwari
Page(s): 1631 - 1642

5. Dynamic Energy Management System for a Smart Microgrid
Authors: Ganesh Kumar Venayagamoorthy; Ratnesh K. Sharma; Prajwal K. Gautam; Afshin Ahmadi
Page(s): 1643 - 1656

6. Storage Free Smart Energy Management for Frequency Control in a Diesel-PV-Fuel Cell-Based Hybrid AC Microgrid
Authors: P. C. Sekhar; S. Mishra
Page(s): 1657 - 1671

7. Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing
Authors: Christian Napoli; Giuseppe Pappalardo; Giuseppe Marco Tina; Emiliano Tramontana
Page(s): 1672 - 1685

8. Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System
Authors: Yan Xu; Rui Zhang; Junhua Zhao; Zhao Yang Dong; Dianhui Wang; Hongming Yang; Kit Po Wong
Page(s): 1686 - 1696

9. Fair Energy Scheduling for Vehicle-to-Grid Networks Using Adaptive Dynamic Programming
Authors: Shengli Xie; Weifeng Zhong; Kan Xie; Rong Yu; Yan Zhang
Page(s): 1697 - 1707

10. Automatic Learning of Fine Operating Rules for Online Power System Security Control
Authors: Hongbin Sun; Feng Zhao; Hao Wang; Kang Wang; Weiyong Jiang; Qinglai Guo; Boming Zhang; Louis Wehenkel
Page(s): 1708 - 1719

11. Adaptive Portfolio Optimization for Multiple Electricity Markets Participation
Authors: Tiago Pinto; Hugo Morais; Tiago M. Sousa; Tiago Sousa; Zita Vale; Isabel Praça; Ricardo Faia; Eduardo José Solteiro Pires
Page(s): 1720 - 1733

12. Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction
Authors: Ronay Ak; Olga Fink; Enrico Zio
Page(s): 1734 - 1747

13. Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration
Authors: Wentao Guo; Feng Liu; Jennie Si; Dawei He; Ronald Harley; Shengwei Mei
Page(s): 1748 - 1761

14. Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission
Authors: Yufei Tang; Haibo He; Zhen Ni; Jinyu Wen; Tingwen Huang
Page(s): 1762 - 1772

15. Machine Learning Methods for Attack Detection in the Smart Grid
Authors: Mete Ozay; Iñaki Esnaola; Fatos Tunay Yarman Vural; Sanjeev R. Kulkarni; H. Vincent Poor
Page(s): 1773 - 1786

16. Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming
Authors: Sasikanth Pagadrai; Muhittin Yilmaz; Pratyush Valluri
Page(s): 1787 - 1792

17. A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting
Authors: Ye Ren; Ponnuthurai Nagaratnam Suganthan; Narasimalu Srikanth
Page(s): 1793 - 1798