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  • Conference proceedings
  • © 2013

Advances in Neural Networks- ISNN 2013

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

  • Up-to-date results of conference ISNN 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7951)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ISNN: International Symposium on Neural Networks

Conference proceedings info: ISNN 2013.

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  • ISBN: 978-3-642-39065-4
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Table of contents (81 papers)

  1. Front Matter

  2. Neural Network Models, Learning Algorithms, Stability and Convergence Analysis

    1. Generalized Single-Hidden Layer Feedforward Networks

      • Ning Wang, Min Han, Guifeng Yu, Meng Joo Er, Fanchao Meng, Shulei Sun
      Pages 91-98
    2. An Approach for Designing Neural Cryptography

      • Nankun Mu, Xiaofeng Liao
      Pages 99-108
    3. Stability Criteria for Uncertain Linear Systems with Time-Varying Delay

      • Huimin Liao, Manchun Tan, Shuping Xu
      Pages 117-124
    4. Generalized Function Projective Lag Synchronization between Two Different Neural Networks

      • Guoliang Cai, Hao Ma, Xiangqian Gao, Xianbin Wu
      Pages 125-132
    5. Application of Local Activity Theory of CNN to the Coupled Autocatalator Model

      • Guangwu Wen, Yan Meng, Lequan Min, Jing Zhang
      Pages 133-140

Other Volumes

  1. Advances in Neural Networks – ISNN 2013

    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 this book

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
  • algorithm analysis and problem complexity

Editors and Affiliations

  • School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Chengan Guo

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zeng-Guang Hou

  • School of Automation, Huazhong University of Science and Technology, Wuhan, China

    Zhigang Zeng

Bibliographic Information

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-39065-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 131.00
Price excludes VAT (USA)