By Jianjun Wang, ZongBen Xu, Weijun Xu (auth.), Fu-Liang Yin, Jun Wang, Chengan Guo (eds.)
This publication constitutes the lawsuits of the foreign Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China in the course of August 19–21, 2004. ISNN 2004 obtained over 800 submissions from authors in ?ve continents (Asia, Europe, North the USA, 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 accordance with studies, this system Committee chosen 329 hello- caliber papers for presentation at ISNN 2004 and booklet within the lawsuits. The papers are equipped into many topical sections below 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 regulate; telecommunications; sign, photo and time sequence processing; detection, diagnostics, and laptop defense; biomedical purposes; and different functions) protecting the full spectrum of the hot neural community learn and improvement. as well as the varied contributed papers, ?ve unique students have been invited to offer 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 gorgeous coastal urban Dalian in northeastern China.
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892 Huiling Tai, Guangzhong Xie, Yadong Jiang Consumer Oriented Design of Product Forms . . . . . . . . . . . . . . 898 Yang-Cheng Lin, Hsin-Hsi Lai, Chung-Hsing Yeh An Intelligent Simulation Method Based on Artificial Neural Network for Container Yard Operation . . . . . . . . . . . . . . . . . . . . . 904 Chun Jin, Xinlu Liu, Peng Gao A Freeway Traffic Incident Detection Algorithm Based on Neural Networks . . . . . . . . . . . . . . . . . .
Using (3), (4), (5), we have g − Vi,mi g p p,ω ≤C1 Emi (g, Pmi , Lω ) 1 1 )Emi −ri (g ri , Pmi −ri , Lpω ) )···( mi mi − r i + 1 1 1 ) g ri p,ω ≤C1 M1ri ( ) · · · ( mi mi − r i + 1 1 1 =Cri ( ) · · · ( ) V0 · · · Vi−1,mi −1 Dri f p,ω . mi mi − r i + 1 ≤C1 M1ri ( (9) Letting ri = r, mi = m, i = 1, . . , d, if m > r(r − 1), we get from (7), (8), (9) n n and the inequality i=1 (1 + ai ) ≥ 1 + i=1 ai , (ai ≥ −1), d f − V (f ) p,ω ≤Cr ( i=1 1 1 )···( ) Dr f m m−r+1 p,ω 1 1 )···( ) m m−r+1 1 2 r − 1 −1 =Cr dM m−r (1 − )−1 (1 − )−1 · · · (1 − ) m m m r(r − 1) −1 ) ≤ 2dCr M m−r .
IEEE Trans. on Circ. and Sys. I: Fundanmetntal Theory and Application, 46 (1999) 748-751 3. Cao, J. D. : On the Exponential Stability and Periodic Solution of Delayed Cellular Neural Networks. J. Math. a Anal. , 252 (2000) 50-64 4. Liao, X. X. and Xiao, D. : Globally Exponential Stability of Hopﬁeld Neural Networks with Time-varying Delays. ACTA Electronica Sinica, 28 (2000) 1-4 5. Arik, S. : On the Global Asymptotic Stability of Delayed Cellular Neural Networks. IEEE Trans. Circuits Syst. I, 47 (2000) 571-574 6.
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.)