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Advances in Neural Networks - ISNN 2008

5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II

  • Conference proceedings
  • © 2008
  • Latest edition

Overview

Editors:
  1. Fuchun Sun

    1. Department of Computer Science and Technology, Tsinghu University, Beijing, China

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  2. Jianwei Zhang

    1. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Hamburg, Germany

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  3. Ying Tan

    1. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, Beijing, China

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  4. Jinde Cao

    1. Department of Mathematics, Southeast University, Nanjing, China

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  5. Wen Yu

    1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, México D.F., México

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5264)

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

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Conference proceedings info: ISNN 2008.

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About this book

The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.

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Table of contents (94 papers)

  1. Front Matter

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  2. Machine Learning and Data Mining

    1. Rough Set Combine BP Neural Network in Next Day Load Curve Forcasting

      • Chun-Xiang Li, Dong-Xiao Niu, Li-Min Meng
      Pages 1-10

    2. Improved Fuzzy Clustering Method Based on Entropy Coefficient and Its Application

      • Li Liu, Jianzhong Zhou, Xueli An, Yinghai Li, Qiang Liu
      Pages 11-20

    3. An Algorithm of Constrained Spatial Association Rules Based on Binary

      • Gang Fang, Zukuan Wei, Qian Yin
      Pages 21-29

    4. Sequential Proximity-Based Clustering for Telecommunication Network Alarm Correlation

      • Yan Liu, Jing Zhang, Xin Meng, John Strassner
      Pages 30-39

    5. A Fast Parallel Association Rules Mining Algorithm Based on FP-Forest

      • Jian Hu, Xiang Yang-Li
      Pages 40-49

    6. Improved Algorithm for Image Processing in TCON of TFT-LCD

      • Feng Ran, Lian-zhou Wang, Mei-hua Xu
      Pages 50-56

    7. Clustering Using Normalized Path-Based Metric

      • Jundi Ding, Runing Ma, Songcan Chen, Jingyu Yang
      Pages 57-66

    8. Association Rule Mining Based on the Semantic Categories of Tourism Information

      • Yipeng Zhou, Junping Du, Guangping Zeng, Xuyan Tu
      Pages 67-73

    9. The Quality Monitoring Technology in the Process of the Pulping Papermaking Alkaline Steam Boiling Based on Neural Network

      • Jianjun Su, Yanmei Meng, Chaolin Chen, Funing Lu, Sijie Yan
      Pages 74-80

    10. A New Self-adjusting Immune Genetic Algorithm

      • Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfang Zhu, Binglun Zheng
      Pages 81-90

    11. Calculation of Latent Semantic Weight Based on Fuzzy Membership

      • Jingtao Sun, Qiuyu Zhang, Zhanting Yuan, Wenhan Huang, Xiaowen Yan, Jianshe Dong
      Pages 91-99

    12. Research on Spatial Clustering Acetabuliform Model and Algorithm Based on Mathematical Morphology

      • Lichao Chen, Lihu Pan, Yingjun Zhang
      Pages 100-109

  3. Intelligent Control and Robotics

    1. Partner Selection and Evaluation in Virtual Research Center Based on Trapezoidal Fuzzy AHP

      • Zhimeng Luo, Jianzhong Zhou, Qingqing Li, Li Liu, Li Yang
      Pages 110-118

    2. A Nonlinear Hierarchical Multiple Models Neural Network Decoupling Controller

      • Xin Wang, Hui Yang, Shaoyuan Li, Wenxin Liu, Li Liu, David A. Cartes
      Pages 119-127

    3. Adaptive Dynamic Programming for a Class of Nonlinear Control Systems with General Separable Performance Index

      • Qinglai Wei, Derong Liu, Huaguang Zhang
      Pages 128-137

    4. A General Fuzzified CMAC Controller with Eligibility

      • Zhipeng Shen, Ning Zhang, Chen Guo
      Pages 138-147

    5. Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process

      • Jinliang Ding, Changxin Liu, Ming Wen, Tianyou Chai
      Pages 148-157

    6. An Affective Model Applied in Playmate Robot for Children

      • Jun Yu, Lun Xie, Zhiliang Wang, Yongxiang Xia
      Pages 158-164

    7. The Application of Full Adaptive RBF NN to SMC Design of Missile Autopilot

      • Jinyong Yu, Chuanjin Cheng, Shixing Wang
      Pages 165-170
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Other volumes

  1. Advances in Neural Networks - ISNN 2008

  2. Advances in Neural Networks - ISNN 2008

Editors and Affiliations

  • Department of Computer Science and Technology, Tsinghu University, Beijing, China

    Fuchun Sun

  • Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Hamburg, Germany

    Jianwei Zhang

  • Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, Beijing, China

    Ying Tan

  • Department of Mathematics, Southeast University, Nanjing, China

    Jinde Cao

  • Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, México D.F., México

    Wen Yu

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