By Zongben Xu, Deyu Meng, Wenfeng Jing (auth.), Jun Wang, Xiao-Feng Liao, Zhang Yi (eds.)
This e-book and its sister volumes represent the lawsuits of the second overseas Symposium on Neural Networks (ISNN 2005). ISNN 2005 used to be held within the appealing mountain urban Chongqing by means 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 area with - creasing international popularity and impression. ISNN 2005 acquired 1425 submissions from authors on ?ve continents (Asia, Europe, North the United States, South the USA, 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 accordance with rigorous reports, 483 top of the range papers have been chosen by way of this system Committee for presentation at ISNN 2005 and booklet within the proce- ings, with an recognition fee of below 34%. as well as the various contributed papers, 10 amazing 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
839 Zhihua Xiong, Jie Zhang, Xiong Wang, and Yongmao Xu Chip Speed Prediction Model for Optimization of Semiconductor Manufacturing Process Using Neural Networks and Statistical Methods . . . . 845 Tae Seon Kim Using ANNs to Model Hot Extrusion Manufacturing Process . . . . . . . . . 851 Kesheng Wang, Per Alvestad, Yi Wang, Qingfeng Yuan, Minglun Fang, and Lingiang Sun Application Research of Support Vector Machines in Condition Trend Prediction of Mechanical Equipment .
102 Haijun Jiang, Jinde Cao, and Zhidong Teng Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay . . . . . . . . . . . . . . . . . . . . . . . . 108 Minghui Jiang, Yi Shen, and Meiqin Liu A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay . . . . . . . . . . . . . . . . 114 Yi Shen, Minghui Jiang, and Xiaoxin Liao A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays .
Kalra 95 Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays . . . . . . . . . . . . . . . . . . . . . . 102 Haijun Jiang, Jinde Cao, and Zhidong Teng Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay . . . . . . . . . . . . . . . . . . . . . . . . 108 Minghui Jiang, Yi Shen, and Meiqin Liu A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay .