Advances in Neural Networks - ISNN 2009

1. Front Matter

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2. Optimization

   1. A Modified Projection Neural Network for Linear Variational Inequalities and Quadratic Optimization Problems

      • Minghui Jiang, Yongqing Zhao, Yi Shen

      Pages 1-9

   2. Diversity Maintenance Strategy Based on Global Crowding

      • Qiong Chen, Shengwu Xiong, Hongbing Liu

      Pages 10-18

   3. Hybrid Learning Enhancement of RBF Network Based on Particle Swarm Optimization

      • Sultan Noman Qasem, Siti Mariyam Shamsuddin

      Pages 19-29

   4. Chaos Cultural Particle Swarm Optimization and Its Application

      • Ying Wang, Jianzhong Zhou, Youlin Lu, Hui Qin, Yongchuan Zhang

      Pages 30-40

   5. Application of Visualization Method to Concrete Mix Optimization

      • Bin Shi, Liexiang Yan, Quan Guo

      Pages 41-48

   6. A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network

      • Jiansheng Wu, Enhong Chen

      Pages 49-58

   7. A Revised Neural Network for Solving Quadratic Programming Problems

      • Yinjie Sun

      Pages 59-66

   8. The Separation Property Enhancement of Liquid State Machine by Particle Swarm Optimization

      • Jiangshuai Huang, Yongji Wang, Jian Huang

      Pages 67-76

   9. A Class of New Large-Update Primal-Dual Interior-Point Algorithms for \(\emph{P}_\ast(\kappa)\) Linear Complementarity Problems

      • Huaping Chen, Mingwang Zhang, Yuqin Zhao

      Pages 77-87

   10. A Novel Artificial Immune System for Multiobjective Optimization Problems

       • Jiaquan Gao, Lei Fang

       Pages 88-97

   11. A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications

       • Alaeddin Malek, Maryam Yashtini

       Pages 98-108

   12. Evolutionary Markov Games Based on Neural Network

       • Liu Weibing, Wang Xianjia, Huang Binbin

       Pages 109-115

   13. Another Simple Recurrent Neural Network for Quadratic and Linear Programming

       • Xiaolin Hu, Bo Zhang

       Pages 116-125

   14. A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy

       • Qin Tang, Jianyou Zeng, Hui Li, Changhe Li, Yong Liu

       Pages 126-135

   15. Structure Optimization Algorithm for Radial Basis Probabilistic Neural Networks Based on the Moving Median Center Hyperspheres Algorithm

       • Ji-Xiang Du, Chuan-Min Zhai

       Pages 136-143

   16. Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm

       • Weiya Shi, Yue-Fei Guo

       Pages 144-151

   17. Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set

       • Yan Li, Pan-pan Jing, De-feng Hu, Bu-han Zhang, Cheng-xiong Mao, Xin-bo Ruan et al.

       Pages 152-161

3. Robotics

   1. A Robust Non-Line-Of-Sight Error Mitigation Method in Mobile Position Location

      • Sumei Chen, Ju Liu, Lin Xue

      Pages 162-170

   2. Research on SSVEP-Based Controlling System of Multi-DoF Manipulator

      • Hui Shen, Li Zhao, Yan Bian, Longteng Xiao

      Pages 171-177

This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

• algorithm
• algorithms
• artificial intelligence
• classification
• communication
• fuzzy
• fuzzy system
• genetic algorithms
• image processing
• learning
• machine learning
• modeling
• optimization
• robot
• robotics
• algorithm analysis and problem complexity

• Departamento de Control Automático, CINVESTAV-IPN, México D.F., México

  Wen Yu

• Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA

  Haibo He

• Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, Rapid City, USA

  Nian Zhang

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