Download e-book for kindle: Advances in Neural Networks – ISNN 2004: International by Jianjun Wang, ZongBen Xu, Weijun Xu (auth.), Fu-Liang Yin,

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By Jianjun Wang, ZongBen Xu, Weijun Xu (auth.), Fu-Liang Yin, Jun Wang, Chengan Guo (eds.)

ISBN-10: 3540228411

ISBN-13: 9783540228417

This booklet constitutes the lawsuits of the overseas Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China in the course of August 19–21, 2004. ISNN 2004 acquired over 800 submissions from authors in ?ve continents (Asia, Europe, North the United States, South the USA, and Oceania), and 23 nations and areas (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Belgium, Spain, united kingdom, united states, Canada, Mexico, Venezuela, Chile, and Australia). in line with studies, this system Committee chosen 329 hello- caliber papers for presentation at ISNN 2004 and booklet within the lawsuits. The papers are geared up into many topical sections less than eleven significant different types (theore- cal research; studying and optimization; aid vector machines; blind resource sepa- tion, autonomous part research, and relevant part research; clustering and classi?cation; robotics and keep an eye on; telecommunications; sign, snapshot and time sequence processing; detection, diagnostics, and laptop safeguard; biomedical functions; and different functions) masking the entire spectrum of the hot neural community study and improvement. as well as the varied contributed papers, ?ve distinctive students have been invited to provide plenary speeches at ISNN 2004. ISNN 2004 used to be an inaugural occasion. It introduced jointly a couple of hundred researchers, educators, scientists, and practitioners to the attractive coastal urban Dalian in northeastern China.

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Additional info for Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

Example text

E. there is a η ∈ [0, h|s · x|], such that Ash φ|s| (x) = h|s| φ|s| (b + η)), and the moduli of continuity ω(g, h) = sup|t|≤h |f (x + t) − f (x)|. From the definition of dist(F, G, Lpω ) and (14), we have as xs − p dist(BPm (L), Fn , Lpω ) ≤ 0≤s≤m as 0≤s≤m s h,x φ(b) p |s| h φ|s| (b) p,ω ≤(m + 1)d max {| as | xs − 0≤s≤m s h,x φ(b) p } |s| h φ|s| (b) p,ω ≤(m + 1) L max {φ|s| (b)}−p ω(φ|s| , h) d 0≤s≤m ≤(m + 1) LCφ−p ω(φ|s| , h) < . d The last step ω(φ|s| , h) can be made arbitrarily small by letting h → 0.

799 Jinsong Gui, Hequan Sun, Haigui Kang Modeling Temperature Drift of FOG by Improved BP Algorithm and by Gauss-Newton Algorithm . . . . . . . . . . . . . . . . . . . 805 Xiyuan Chen A Novel Chaotic Neural Network for Automatic Material Ratio System . . . . 813 Lidan Wang, Shukai Duan Finite Element Analysis of Structures Based on Linear Saturated System Model . . . . . . . . . . . . . . . . 820 Hai-Bin Li, Hong-Zhong Huang, Ming-Yang Zhao Neural Network Based Fatigue Cracks Evolution .

One is on the estimation of error bonds, and the other is on the examination of numerical errors to the specific problems. Few studies related the basis functions to the approximation capability using a geometric approach. In this work, we propose a new methodology from the following aspects. 1 Nonlinearity Domain Analysis Nonlinearity domain analysis is a novel concept. There is no existing and explicit theory for such subject. We propose this concept in order to characterize a given nonlinear function by its nonlinearity components similar to a frequency domain analysis.

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Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I by Jianjun Wang, ZongBen Xu, Weijun Xu (auth.), Fu-Liang Yin, Jun Wang, Chengan Guo (eds.)


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