Advances in Neural Network Research and Applications

1. Fuzzy Neural Networks

   1. Interval-Valued Fuzzy Control

      • Wenyi Zeng, Jiayin Wang

      Pages 173-183

   2. Research on Fuzzy Preference Relations-Based MAS for Decision Method

      • Weijin Jiang, Qing Jiang

      Pages 185-192

2. Optimization and Planning

   1. Study of Stochastic Demand Inventory Routing Problem with Soft Time Windows Based on MDP

      • Wei Zeng, Qian Zhao

      Pages 193-200

   2. An Agent-Based Approach to Joint Procurement Modeling with Virtual Organization

      • Chih-Yao Lo, Hung-Teng Chang, Yu-Teng Chang, Hsiu-Yun Hu

      Pages 201-210

   3. Interactive Hybrid Evolutionary Computation for MEMS Design Synthesis

      • Ying Zhang, Alice M. Agogino

      Pages 211-218

   4. Genetic Algorithms for Traffic Grooming in Optical Tree Networks

      • Shu-tong Xie, Li-fang Pan

      Pages 219-226

   5. Multi-sensor Multi-target Tracking with OOSM

      • Cheng Cheng, Jinfeng Wang

      Pages 227-233

   6. Hopfield Neural Network Guided Evolutionary Algorithm for Aircraft Penetration Path Planning

      • Nan Wang, Lin Wang, Xueqiang Gu, Jing Chen, Lincheng Shen

      Pages 235-243

   7. Fuzzy Material Procurement Planning with Value-at-Risk

      • Gao-Ji Sun

      Pages 245-252

   8. Radial Basis Function Network for Endpoint Detection in Plasma Etch Process

      • Shu-Kun Zhao, Min-Woo Kim, Yi-Seul Han, Se-Youn Jeon, Yun-Keun Lee, Seung-Soo Han

      Pages 253-263

   9. A Novel Cellular Neural Network and Its Applications in Motion Planning

      • Yan Cao, Feng Zhang, Xuewu Wu, Sheng Lu, Yi Li, Lei Sun et al.

      Pages 265-273

   10. Evaluation of Enterprise ERP System Based on Neural Network Optimized by Ant Colony

       • Hanmei Wang, Dongxiao Niu, Chengkai Cai

       Pages 275-282

3. Pattern Recognition

   1. Visual Attention-Based Ship Detection in SAR Images

      • Ying Yu, Zhenghu Ding, Bin Wang, Liming Zhang

      Pages 283-292

   2. Recognizing Multi-ships Based on Silhouette in Infrared Image

      • Jun-Wei Lv, Bo Wang, Dong-Mei Wang

      Pages 293-299

   3. SAR Images Feature Extraction and Recognition Based on G2DCDA

      • Liping Hu, Hongwei Liu, Ping Zhou

      Pages 301-309

   4. Bridge Detection and Recognition in Remote Sensing SAR Images Using Pulse Coupled Neural Networks

      • Zhenming Peng, Shijun Liu, Guiyou Tian, Zhang Chen, Tao Tao

      Pages 311-320

   5. Approaches to Robotic Vision Control Using Image Pointing Recognition Techniques

      • Tian-Ding Chen

      Pages 321-328

   6. A Hybrid Evolutionary Approach to Band Selection for Hyperspectral Image Classification

      • Hao Wu, Jiali Zhu, Shijin Li, Dingsheng Wan, Lin Lin

      Pages 329-336

   7. Impulsive Environment Sound Detection by Neural Classification of Spectrogram and Mel-Frequency Coefficient Images

      • Peerapol Khunarsa, Chidchanok Lursinsap, Thanapant Raicharoen

      Pages 337-346

   8. Classification and Control of Cognitive Radios Using Hierarchical Neural Network

      • Sheng Chen, Xiaochen Li, Qiao Cai, Nansai Hu, Haibo He, Yu-Dong Yao et al.

      Pages 347-353

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, 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, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

• Transport
• cognition
• electrical engineering
• fuzzy
• image processing
• neural network
• optimization
• pattern recognition
• quality
• robot
• robotics

• Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

  Zhigang Zeng

• Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Hong Kong

  Jun Wang

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