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Advances in Neural Networks- ISNN 2013

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

  • Conference proceedings
  • © 2013

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Editors:
  1. Chengan Guo

    1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

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  2. Zeng-Guang Hou

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  3. Zhigang Zeng

    1. School of Automation, Huazhong University of Science and Technology, Wuhan, China

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  • 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)

Included in the following conference series:

Conference proceedings info: ISNN 2013.

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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.

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Table of contents (81 papers)

  1. Front Matter

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  2. Computational Neuroscience and Cognitive Science

    1. Information Transfer Characteristic in Memristic Neuromorphic Network

      • Quansheng Ren, Qiufeng Long, Zhiqiang Zhang, Jianye Zhao
      Pages 1-8

    2. Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model

      • Xianghong Lin, Zhiqiang Li
      Pages 9-18

    3. A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem

      • Shenshen Gu
      Pages 19-27

    4. Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell

      • Ying Du, Rubin Wang, Jingyi Qu
      Pages 28-35

    5. Efficiency Improvements for Fuzzy Associative Memory

      • Nong Thi Hoa, The Duy Bui, Trung Kien Dang
      Pages 36-43

    6. A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA

      • Tiantong Zhou, Hailing Wang, Ling Zou, Renlai Zhou, Nong Qian
      Pages 44-51

    7. Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses

      • Ling Zou, Yi Zhang, Lin Yuan, Nong Qian, Renlai Zhou
      Pages 52-59

    8. Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks

      • Huisheng Zhang, Xiaodong Liu, Dongpo Xu
      Pages 60-66

    9. Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure

      • Hu Lu, Hui Wei
      Pages 67-73

    10. A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes

      • Yueping Peng, Xinxu Wang, Xiaohua Qiu
      Pages 74-82

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

    1. Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method

      • James Ting-Ho Lo, Yichuan Gui, Yun Peng
      Pages 83-90

    2. Generalized Single-Hidden Layer Feedforward Networks

      • Ning Wang, Min Han, Guifeng Yu, Meng Joo Er, Fanchao Meng, Shulei Sun
      Pages 91-98

    3. An Approach for Designing Neural Cryptography

      • Nankun Mu, Xiaofeng Liao
      Pages 99-108

    4. Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays

      • Qiming Liu
      Pages 109-116

    5. Stability Criteria for Uncertain Linear Systems with Time-Varying Delay

      • Huimin Liao, Manchun Tan, Shuping Xu
      Pages 117-124

    6. Generalized Function Projective Lag Synchronization between Two Different Neural Networks

      • Guoliang Cai, Hao Ma, Xiangqian Gao, Xianbin Wu
      Pages 125-132

    7. Application of Local Activity Theory of CNN to the Coupled Autocatalator Model

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

    8. Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays

      • Zhenjiang Zhao, Qiankun Song
      Pages 141-148

    9. Parallel Computation of a New Data Driven Algorithm for Training Neural Networks

      • Daiyuan Zhang
      Pages 149-156
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Other volumes

  1. Advances in Neural Networks – ISNN 2013

  2. Advances in Neural Networks – ISNN 2013

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

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