By Si Wu, Jianfeng Feng, Shun-ichi Amari (auth.), Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (eds.)
This ebook and its sister volumes represent the lawsuits of the 3rd foreign Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China in the course of may well 28–31, 2006. After a winning ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN turned a well-established sequence of meetings on neural computation within the quarter with becoming acceptance and enhancing caliber. ISNN 2006 acquired 2472 submissions from authors in forty three nations and areas (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, united kingdom, eire, Canada, united states, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) throughout six continents (Asia, Europe, North the USA, South the United States, Africa, and Oceania). in response to rigorous reports, 616 top quality papers have been chosen for booklet within the lawsuits with the popularity price being lower than 25%. The papers are geared up in 27 cohesive sections protecting all significant themes of neural community examine and improvement. as well as the various contributed papers, ten exotic students gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).
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Additional resources for Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I
727 XL Table of Contents – Part II Fractional Order Digital Diﬀerentiators Design Using Exponential Basis Function Neural Network Ke Liao, Xiao Yuan, Yi-Fei Pu, Ji-Liu Zhou . . . . . . . . . . . 735 Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network Min Han, Wei Guo, Mingming Fan . . . . . . . . . . . . . . . 741 Time Series Prediction Using LS-SVM with Particle Swarm Optimization Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye .
1252 Short Term Load Forecasting Using Neural Network with Rough Set Zhi Xiao, Shi-Jie Ye, Bo Zhong, Cai-Xin Sun . . . . . . . . . . . 1259 Application of Neural Network Based on Particle Swarm Optimization in Short-Term Load Forecasting Dong-Xiao Niu, Bo Zhang, Mian Xing . . . . . . . . . . . . . . 1269 Study of Neural Networks for Electric Power Load Forecasting Hui Wang, Bao-Sen Li, Xin-Yang Han, Dan-Li Wang, Hong Jin . .
340 An Erotic Image Recognition Algorithm Based on Trunk Model and SVM Classiﬁcation Qindong Sun, Xinbo Huang, Xiaohong Guan, Peng Gao . . . . . . 346 Fault Detection Sensor Validation Using Nonlinear Minor Component Analysis Roger Xu, Guangfan Zhang, Xiaodong Zhang, Leonard Haynes, Chiman Kwan, Kenneth Semega . . . . . . . . . . . . . . . . . 352 Fault Diagnosis with Enhanced Neural Network Modelling Ding-Li Yu, Thoon-Khin Chang . . . . . . . . . . . .