Advertisement

Advances in Neural Networks – ISNN 2013

10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part II

  • Chengan Guo
  • Zeng-Guang Hou
  • Zhigang Zeng

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7952)

Table of contents

  1. Front Matter
  2. Control, Robotics and Hardware

    1. Feifei Yang, Cong Wang
      Pages 27-34
    2. Ning Wang, Xuming Wang, Yue Tan, Pingbo Shao, Min Han
      Pages 53-60
    3. Ning Wang, Min Han, Nuo Dong, Meng Joo Er, Gangjian Liu
      Pages 61-69
    4. Baobin Miao, Tieshan Li, Weilin Luo, Xiaori Gao
      Pages 79-87
    5. Jian Wu, Dong Zhao, Weisheng Chen
      Pages 139-146
    6. Wenlian Yang, Junfeng Wu, Song Yang, Ye Tao
      Pages 147-154
    7. Chao Cai, Fufei Chu, Zhanshan Wang, Kaili Jia
      Pages 155-162
    8. Hang Su, Zhijun Li, Guanglin Li, Chenguang Yang
      Pages 204-211
    9. Weiwei Bai, Tieshan Li, Xiaori Gao, Khin Thuzar Myint
      Pages 212-219
    10. Jiesheng Wang, Xianwen Gao, Lin Liu, Guannan Liu
      Pages 246-252
    11. Ronghui Li, Tieshan Li, Qingling Zheng, Xiaori Gao
      Pages 268-275
  3. Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces

    1. Ka Fai Lao, Chi Man Wong, Feng Wan, Pui In Mak, Peng Un Mak, Mang I Vai
      Pages 276-283
    2. Jianyi Liang, Hao Zhang, Ye Liu, Hang Wang, Junhua Li, Liqing Zhang
      Pages 284-291
    3. Zhan-Li Sun, Han Wang, Wai-Shing Lau, Gerald Seet, Danwei Wang, Kin-Man Lam
      Pages 292-298
    4. Janir Nuno da Cruz, Chi Man Wong, Feng Wan
      Pages 305-314
    5. Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric Chang, Jinwen Ma et al.
      Pages 315-322
    6. Qingfang Meng, Shanshan Chen, Weidong Zhou, Xinghai Yang
      Pages 323-330
  4. Evolutionary Neural Networks, Hybrid Intelligent Systems

  5. Data Mining and Knowledge Discovery

    1. Thiago Henrique Cupertino, Liang Zhao
      Pages 375-384
    2. Thiago Henrique Cupertino, Liang Zhao
      Pages 395-404
    3. João Roberto Bertini Junior, Liang Zhao
      Pages 405-412

Other volumes

  1. 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
  2. Advances in Neural Networks – ISNN 2013
    10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part II

About these proceedings

Introduction

The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013.

The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.

Keywords

algorithms extreme learning machines fuzzy modeling multi-objective optimization recommender systems

Editors and affiliations

  • Chengan Guo
    • 1
  • Zeng-Guang Hou
    • 2
  • Zhigang Zeng
    • 3
  1. 1.School of Information and Communication EngineeringDalian University of TechnologyDalianChina
  2. 2.Institute of AutomationChinese Academy of SciencesBeijingChina
  3. 3.School of AutomationHuazhong University of Science and TechnologyWuhanChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39068-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-39067-8
  • Online ISBN 978-3-642-39068-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Biotechnology
Electronics
IT & Software
Telecommunications