Advances in Neural Networks – ISNN 2005: Second by Zongben Xu, Deyu Meng, Wenfeng Jing (auth.), Jun Wang,

By Zongben Xu, Deyu Meng, Wenfeng Jing (auth.), Jun Wang, Xiao-Feng Liao, Zhang Yi (eds.)

This publication and its sister volumes represent the court cases of the 2d foreign Symposium on Neural Networks (ISNN 2005). ISNN 2005 used to be held within the appealing mountain urban Chongqing by way of the higher Yangtze River in southwestern China in the course of may possibly 30–June 1, 2005, as a sequel of ISNN 2004 effectively held in Dalian, China. ISNN emerged as a number one convention on neural computation within the quarter with - creasing worldwide reputation and effect. ISNN 2005 acquired 1425 submissions from authors on ?ve continents (Asia, Europe, North the United States, South the United States, and Oc- nia), 33 international locations and areas (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, united kingdom, united states, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). in response to rigorous stories, 483 high quality papers have been chosen via this system Committee for presentation at ISNN 2005 and e-book within the proce- ings, with an popularity fee of under 34%. as well as the varied contributed papers, 10 uncommon students have been invited to provide plenary speeches and tutorials at ISNN 2005.

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Extra info for Advances in Neural Networks – ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II

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819 Fenghua Wang, Zhijian Jin, and Zishu Zhu Modeling and Prediction of Violent Abnormal Vibration of Large Rolling Mills Based on Chaos and Wavelet Neural Networks . . . . . 827 Zhonghui Luo, Xiaozhen Wang, Xiaoning Xue, Baihai Wu, and Yibin Yu Neural Grey Box Model for Power Estimation in Semiautogenous Mill . . . . . 833 Tito Valenzuela, Karina Carvajal, Gonzalo Acu˜na, Max Chac´on, and Luis Magne Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes .

622 Hongying Yang, Hao Ye, Guizeng Wang, and Tongfu Hu Application of Neural Networks for Very Short-Term Load Forecasting in Power Systems . . . . . . . . . . 628 Hungcheng Chen, Kuohua Huang, and Lungyi Chang Table of Contents, Part III XXXI Next Day Load Forecasting Using SVM . . . . . . . . . . . . . . . . . 634 Xunming Li, Dengcai Gong, Linfeng Li, and Changyin Sun Peak Load Forecasting Using the Self-organizing Map . . . . . . . . . . . 640 Shu Fan, Chengxiong Mao, and Luonan Chen Ship Power Load Prediction Based on RST and RBF Neural Networks .

811 Jinwu Gao and Yankui Liu 5 Kernel Methods Generalized Foley-Sammon Transform with Kernels . . . . . . . . . . . 817 Zhenzhou Chen and Lei Li Sparse Kernel Fisher Discriminant Analysis . . . . . . . . . . . . . . . 824 Hongjie Xing, Yujiu Yang, Yong Wang, and Baogang Hu Scaling the Kernel Function to Improve Performance of the Support Vector Machine . . . . . . . . . . . . . . . . . . . . 831 Peter Williams, Sheng Li, Jianfeng Feng, and Si Wu Online Support Vector Machines with Vectors Sieving Method .

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