Advances in Neural Networks - ISNN 2008

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

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.

• Support Vector Machine
• algorithms
• data analysis
• data mining
• machine learning
• modeling
• pattern recognition
• unsupervised learning

• 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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