Friday, 29 January 2016

IEEE Transactions on Evolutionary Computation, Volume 20, Number 1, February 2016

1. Memetic Music Composition
Author(s): Munoz, E. ; Cadenas, J.M. ; Ong, Y.S. ; Acampora, G.
Page(s): 1 - 15

2. A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
Author(s): Yuan, Y. ; Xu, H. ; Wang, B. ; Yao, X.
Page(s): 16 - 37
3. A Genetic Bankrupt Ratio Analysis Tool Using a Genetic Algorithm to Identify Influencing Financial Ratios
Author(s): Lakshmi, T.M. ; Martin, A. ; Venkatesan, V.P.
Page(s): 38 - 51

4. Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms
Author(s): Zhou, A. ; Zhang, Q.
Page(s): 52 - 64

5. Self-Learning Gene Expression Programming
Author(s): Zhong, J. ; Ong, Y. ; Cai, W.
Page(s): 65 - 80

6. Recursion-Based Biases in Stochastic Grammar Model Genetic Programming
Author(s): Kim, K. ; McKay, R.I.B. ; Hoai, N.X.
Page(s): 81 - 95

7. Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems
Author(s): Wang, J. ; Tang, K. ; Lozano, J.A. ; Yao, X.
Page(s): 96 - 109

8. Automated Design of Production Scheduling Heuristics: A Review
Author(s): Branke, J. ; Nguyen, S. ; Pickardt, C.W. ; Zhang, M.
Page(s): 110 - 124
9. Memetic Viability Evolution for Constrained Optimization
Author(s): Maesani, A. ; Iacca, G. ; Floreano, D.
Page(s): 125 - 144

10. Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement
Author(s): He, Z. ; Yen, G.G.
Page(s): 145 - 160

Monday, 25 January 2016

Update 4: IPMU 2016 - Deadline extended to 3 February 2016

The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. 2016 edition of IPMU will take place at Eindhoven University of Technology (TU/e), in Eindhoven, The Netherlands. The Eindhoven region has become one of the leading technology hotspots in Europe, which is also known by the name Brainport Eindhoven. This region is a breeding ground for innovation and the home base for companies, and world-class knowledge and research institutes. Many top international high-tech companies are located in Eindhoven, such as Philips, DAF Trucks and ASML. Eindhoven offers good social and cultural facilities, concerts halls, theatres and museums. Numerous cafés and restaurants lend the town center the pleasant and lively air of a big city.

Topics and Scope of the Conference 

Theory, Methods and Tools: Uncertainty, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis and Data Science. 

Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. 

Call for papers: 
IPMU'2016 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. 

The first day of the conference will host tutorials given by renowned researchers. 

IPMU 2016 is technically co-sponsored by IEEE CIS. 

Details for the submission and all information concerning the conference can be found at the conference website:

Paper submission deadline extended.

Due to many requests, IPMU 2016 deadline for paper submission has been 
extended to February 3rd, 2016. All papers should be submitted through 
the IPMU 2016 online submission system (EasyChair) at 

The proceedings of IPMU-2016 will be published in Communications in 
Computer and Information Science (CCIS) with Springer. CCIS is 
abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical 
Reviews, SCImago, Scopus. CCIS volumes are also submitted for the 
inclusion in ISI Proceedings.

Keynote speakers

IPMU 2016 is pleased to announce the first keynote speakers:

- Chris Dyer, Carnegie Mellon University.
- Joseph Halpern, Cornell University.

Important dates

Paper submission (extended): February 3rd, 2016
Notification of acceptance: March 1st, 2016
Camera-ready paper submission: March 31st, 2016
Early/author registration: March 31st, 2016
Conference: June 20-24th, 2016
Tutorials: June 20th, 2016

For more information, please visit: or 

Executive Directors: 
Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA)General Chair:Uzay Kaymak (The Netherlands) 
Program Chairs: 
Marie-Jeanne Lesot (France) João Paulo Carvalho (Portugal) 
Finance Chair:Anna Wilbik (The Netherlands) 
Publicity Chair: 
Rui Jorge Almeida (The Netherlands) 
Special Session Chair: 
João M. C. Sousa (Portugal) 
Publication Chair: 
Susana Vieira (Portugal) 
Sponsor Chair: 
Paul W.P.J. Grefen (The Netherlands) 

Sunday, 24 January 2016

Call for Papers IEEE CIBCB 2016

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
The Empress Chiang Mai Hotel
Chiang Mai, Thailand
5-7 October 2016

Call for Contributed Papers

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

Submissions for oral and poster presentation are invited from researchers, practitioners and students worldwide. Prospective  authors  are invited  to  submit  papers  in  IEEE  format,  including  results,  figures,  and references. Accepted papers longer than six pages will have an additional per page charge.

Call for Special Sessions/Tutorials

Proposals for special sessions/tutorials within the technical scope of the conference are also encouraged. Special Sessions/tutorials  have become a traditional and important part of IEEE CIBCB. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Special session/tutorial proposal should include the session title, a brief description of the scope, contact information and brief CV of the organizers/tutorial presenter(s).

For general inquiry, please contact General chair Sansanee Auephanwiriyakul at
For program inquiry, please contact Program co-chair Nipon Theera-Umpon at

Important Due Date

Special sessions/tutorials               30 January 2016
Acceptance of special sessions             15 February 2016
Paper submission                      30 April 2016
Notification of acceptance               30 June 2016
Camera ready copy due               30 July 2016

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

Finance Chair

Sermsak Uatrongjit
Chiang Mai University

Web Development Chair

Sakgasit Ramingwong
Chiang Mai University

Publication Co-Chairs

Dome Potikanond
Chiang Mai University
Patiwet Wuttisarnwattana
Chiang Mai University

Plenary Speakers

Byung-Jun Yoon, Ph.D., Texas A&M University: Department of Electrical and Computer Engineering.


Dr. Byung-Jun Yoon received the B.S.E. (summa cum laude) degree from the Seoul National University (SNU), Seoul, Korea, in 1998, and the M.S. and Ph.D. degrees from the California Institute of Technology (Caltech), Pasadena, in 2002 and 2007, respectively, all in Electrical Engineering. In 2008, he joined the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA, where he was an Assistant Professor during 2008-2014 and an Associate Professor since 2014. Recently, Dr. Yoon joined the College of Science and Engineering at the Hamad bin Khalifa University (HBKU), Doha, Qatar, as a founding faculty member, where he is currently an Associate Professor. Dr. Yoon is a recipient of the National Science Foundation (NSF) CAREER

 Award, a senior member of IEEE, and editorial board member for several international journals.

To date, Dr. Yoon has authored over 80 peer-reviewed scientific papers and he has organized or co-organized several international conferences and workshops in bioinformatics and computational network biology. One of his recent papers on probabilistic multiple RNA sequence alignment received the Best Paper Award at the 9th Asia Pacific Bioinformatics Conference (APBC 2011). Furthermore, his recent paper on efficient experimental design to reduce uncertainty in gene regulatory networks received the Best Paper Award at the 12th MCBIOS Conference. Dr. Yoon's main research interests include bioinformatics, computational network biology, machine learning, and signal processing.


Steven G. Rozen, Ph.D., Duke-NUS Medical School Singapore: Duke-NUS Centre for Computational Biology, Cancer and Stem Cell Biology Program.


Steve Rozen has made major scientific contributions in the areas of bioinformatics, human genetics, and cancer genomics. He earned a PhD in computer science from New York University, and then worked at the Whitehead-MIT Genome Center on the human genome project. There, he created the widely-used Primer3 software for PCR primer design. He also worked on sequencing the human, chimpanzee, rhesus monkey, and mouse Y chromosomes, and published extensively on mutations in human Y chromosomes and their clinical consequences.
Rozen came to Duke-NUS in 2008, when he began using high-throughput, genomic technologies to better understand cancer and potential therapies. He also founded and now directs the Duke-NUS Centre for Computational Biology. This Centre comprises five faculty, who are engaged in cutting-edge research and education, and who have published > 140 scientific papers since 2011. Rozen's own laboratory focuses on cancer genomics and is part of a team-science effort with Professors Bin Teh and Patrick Tan that has produced multiple high-profile papers. These include papers that used mutation signatures to trace the role of a particular herbal remedy in causing multiple types of cancer, and papers in top-level journals on mutations that cause stomach cancer, bile-duct cancers, and breast fibroepithelial tumors. This team leads the International Cancer Genome Consortium's research on bile-duct cancers and T- and NK-cell lymphomas. Rozen also co-leads the Consortium's Working Group on Mutation Signatures, which aims to computationally extract mutation signatures and deduce carcinogenic exposures in ~20,000 tumors.


Saturday, 23 January 2016

Call for Papers IEEE CIG 2016 2nd

IEEE Computational Intelligence and Games Conference 2016

20-24 September, 2016, Santorini Island, Greece

NEW: Call for Competitions
NEW: Keynote Talks announced


Computer games not only offer a killer application for computational intelligence (CI), machine learning and search but also provide a compelling domain where problem solving and decision making meet artifact creation; both of which can be experienced via a highly immersive, complex and rich interaction. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer 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 the field of computational intelligence and games.


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

  • Learning in games
  • Neural-based approaches for games
  • Co-evolution in games
  • Fuzzy-based approaches for games
  • Tree search approaches for games
  • Player/Opponent modeling
  • CI/AI-based game design
  • CI/AI-assisted game design
  • CI for player affective modeling
  • Player experience
  • Procedural content generation
  • CI/AI for game generation
  • Intelligent interactive narrative
  • Character development and narrative
  • CI/AI for virtual cinematography
  • CI for non-player characters
  • Multi-agent and multi-strategy learning
  • Applications of game theory
  • General game playing
  • Theoretical or empirical analysis of CI techniques for games
  • Comparative studies and game-based benchmarking
  • Computational and artificial intelligence in (non-inclusively):
  • Console and PC games
  • Board and card games
  • Economic or mathematical games
  • Serious games
  • Realistic games for simulation or training
  • Augmented and mixed-reality games
  • Games for mobile platforms
  • Imperfect information and non-deterministic games
  • Evolutionary games

In addition to regular oral and poster presentations, the conference will include a full program of special sessions, tutorials, workshops, and panel sessions together with keynote talks.

Call for Competitions

The CIG 2016 Organizing Committee invites proposals for competitions. Proposals are due by February 15, 2016, and will be reviewed based on their relevance to the CIG community. The competitions involve well-known games, defining a set of rules and objectives for determining the score of each player. For more information please visit:


Proposals for tutorials should be submitted by March 1, 2016. The proposal should contain a one-page outline of the tutorial, the format of presentation, a short resume of the presenter(s), and any prerequisites for the intended audience. Tutorials are typically a two-hour session.

Special Sessions

Proposals for special sessions should be submitted by *March 1, 2016*. Each proposal should give a half page description of the session topic, short biographical information about the organizers, names of potential contributors and estimated number of submissions. Papers submitted to special sessions will go through the normal reviewing process.


Panel proposals should be submitted by March 1, 2016 and should be in the form of a 2-page extended abstract describing the focus of the panel, providing a list of confirmed speakers, and indicating their areas of expertise relative to the topic. We encourage both debate-style panels that include representatives advocating several positions on a topic of disagreement, and emerging-area style panels that consolidate and explain recent work on a subject of interest to the CIG community.

Keynote Talks

  • Hazel McKendrick, Hello Games, UK
  • Anton Nijholt, University of Twente, Nethelands / Imagineering Institute, Malaysia
  • Tom Schaul, Google DeepMind, UK

Paper submission types

All paper submissions should follow the recommended IEEE conference manuscript format:

Full papers

Full papers should be submitted by April 15, 2016. 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 three alternative types of paper submission: competition, vision 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 31, 2016.

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 31, 2016.


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 2016 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 31, 2016.

Important Dates

February 15, 2016: Call for Competitions
March 1, 2016: Tutorials/Panels/Special Sessions proposals
March 15, 2016: Notification of Tutorials/Panels/Special Sessions acceptance
April 15, 2016: Paper submission
May 15, 2016: Notification of paper acceptance
May 31, 2016: Competition/Vision/Demo submission deadline
June 15, 2016: Camera-ready paper submission deadline
July 1, 2016: Early bird (and author) registration deadline
September 20, 2016: IEEE CIG conference kick-off

Friday, 15 January 2016

WCCI 2016 Deadline Extension

The paper submission deadline for IEEE WCCI 2016 has been extended till 31st January 2016, 24:00 EST (FINAL). Please submit your paper at

Wednesday, 13 January 2016

IEEE CEC 2016 Plenaries

IEEE WCCI 2016 is pleased to announce the following IEEE CEC Plenaries:

  1. Xin Yao, University of Birmingham, UK
  2. Una-May O'Reilly, MIT Computer Science and Artificial Intelligence Laboratory, USA
  3. Yaochu Jin, University of Surrey, UK
  4. Sanaz Mostaghim, Otto von Guericke University Magdeburg, Germany
  5. Graham Kendall, University of Nottingham, UK

More Plenaries will be announced soon. Visit for more information.

Friday, 8 January 2016

Call for Papers: WCCI/CEC 2016 Special Session on “Computational intelligence in power system” (CDCI-13)

The 2016 IEEE World Congress on Computational Intelligence
2016 IEEE Congress on Evolutionary Computation (CEC'16)
July 25-29, 2016, Vancouver, Canada
Special Session on “Computational intelligence in power system” (CDCI-13)

The demand for electrical energy is growing exponentially and quality and reliability requirements of modern power systems are becoming more and stringent. This special session will focus on the applications of computation intelligence for planning, operation, control, and optimization of electric power systems, in order to provide better secure, stable and reliable system. The computation techniques include neural computation, evolutionary computation, swarm intelligence, artificial immune systems, ant colony search, pattern recognition, data mining, firefly algorithm, artificial bee colony, etc. The objective of this special session is to bring together researchers from the academia and industry in the fields of power system engineering and computational intelligence.

The need for efficient and fast computational techniques poses many research challenges. This special session seeks to promote novel research investigations in Power and Energy and related areas.
Topics of interest: The special session invites contributions in the areas including, but not limited to, the following:
  1. Power system operation
  2. Power system control 
  3. Power system planning
  4. Power system analysis
  5. Power system stability
  6. Power system reliability
  7. Power system protection
  8. Security assessment
  9. Power quality
  10. Load frequency control
  11. Power sector reforms and restructuring
  12. Smart grid

Paper submission

Potential authors may submit their manuscripts for presentation consideration through WCCI2016 submission system. All the submissions will go through peer review. Details on manuscript submission can be found from

Important dates

Paper submission deadline: 
  January 15, 2016
Notification of acceptance: 
  March 15, 2016
Final paper submission and early registration deadline:
  April 15, 2016


Kumarappan N, Annamalai University, India

Tuesday, 5 January 2016

Call for Papers WCCI 2016 Special Session "Sequential Learning with Neural Networks"

Introduction to the special session

Over the past few decades, research and applications of sequential data has attracted growing attention from both scientific and industrial communities. A number of processing techniques have been proposed for sequential data understanding and processing, e.g. dynamic time warping (DTW), fisher kernel and recurrent neural networks. The main aim of this special session is not only to explore the new techniques on this area, providing original research with the aim for deeper understanding into the mechanism of algorithms, but also to encourage exchange of great ideas on sequential learning in different scenarios. We wish to communicate with people working in different research areas, practitioners, professionals and academicians in this area.

Topics of the special session include, but not limited to:

  • recurrent neural networks
  • Sequential data classification, regression and learning
  • Architectures, techniques and algorithms for learning in non-stationary/dynamic environments
  • Domain adaptation, dataset shift, covariance shift
  • Incremental learning, lifelong learning, cumulative learning
  • Change-detection tests and anomaly-detection algorithms
  • Mining from streams of data
  • Sequential kernel
  • Text Classification
  • streaming learning and mining
  • hidden Markov models
  • Echo state networks, and reservoir models
  • Applications that call for incremental learning or learning in non-stationary/dynamic environments, such as:
    • Adaptive classifiers for concept drift and recurring concepts
    • Intelligent systems operating in non-stationary/dynamic environments
    • Intelligent embedded and cyber-physical systems
  • Cognitive-inspired approaches to adaptation and learning
  • Finite state machines and Dynamic models
  • Issues relevant to above mentioned or related fields
  • Organizers

    Huanhuan Chen is a professor in School of Computer Science, University of Science & Technology of China (USTC), Hefei, China. He received the B.Sc. degree from USTC, Hefei, China, in 2004, and Ph.D. degree, sponsored by Dorothy Hodgkin Postgraduate Award, in computer science at the University of Birmingham, Birmingham, UK, in 2008. He worked in University of Birmingham and University of Leeds in the UK from 2008 to 2012, respectively. From 2012, he has been selected to young thousand talent program by central government and became a professor in USTC. He has received 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation award (the only winner), 2009 CPHC/British Computer Society Distinguished Dissertations Award (the runner up), IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2012, and only one paper in 2009 receive this award), and 2015 the International Neural Network Society (INNS) Young Investigator Award.

    Giacomo Boracchi graduated in Mathematics at Universita Statale degli Studi di Milano, Italy, in 2004 and in 2005. He has been researcher at Tampere International Center for Signal Processing, Finland. In 2008 he received a Ph.D. in Information Technology at the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy. Currently, he is an assistant professor at Dipartimento di Elettronica e Informazione, Politecnico di Milano, and he is actively collaborating with Computational Imaging group in the Department of Signal Processing, Tampere University of Technology. His research interests encompass two different areas: computational intelligence and image analysis and enhancement. In particular, his research activity covers the following lines: learning methods for nonstationary environments, change/anomaly detection, computational imaging, and image restoration. He received 2015 IBM Faculty Award and the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award.

    Jian Cheng is currently an associate professor with China University of Mining and Technology, Xuzhou, China. He received the B. Eng. degree in Industrial Automation, the M. Sc. Degree in Control theory and Control Engineering, and the Ph. D. degree in Communication and Information System from China University of Mining and Technology, in 1997, 2003 and 2008, respectively. He worked at Tsinghua University as a postdoctoral researcher from Jun. 2009 to Aug. 2011. During Jan. 2012 to Jan. 2013, he visited University of Birmingham as a postdoctoral fellow supported by China Scholarship Council. His research interests are broadly in the area of Machine Learning, Intelligent Computing, Fault Detection and Diagnosis, Monitoring and Control System. He has published over 30 papers in journals and conferences, and holds a granted software patent.

    For more information, please visit:

    Update: IPMU 2016 - Eindhoven, Netherlands, 20-24 June 2016 (Extended deadline for paper submission - 22 January 2016).

    Paper Submission deadline has been extended

    IPMU 2016 deadline for paper submission has been extended to January 22nd, 2016. All papers should be submitted through the IPMU 2016 online submission system (EasyChair) at

    The proceedings of IPMU-2016 will be published in Communications in Computer and Information Science (CCIS) with Springer.

    Call for papers

    IPMU'2016 invites researchers to submit original research contributions of theoretical and methodological nature as well as application-oriented work.

    Click here for the call for papers:, or visit our previous post:

    Important dates

    Paper submission (extended): January 22nd, 2016
    Notification of acceptance: March 1st, 2016
    Camera-ready paper submission: March 31st, 2016
    Early/author registration: March 31st, 2016
    Conference: June 20-24th, 2016
    Tutorials: June 20th, 2016

    For more information, please visit:

    Monday, 4 January 2016

    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