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Study of Asymptotical Stability of Transiently Chaotic Neural Networks
Found in: Artificial Intelligence and Computational Intelligence, International Conference on
By Run-Nian Ma, Hong Xiao, Sheng-Rui Zhang
Issue Date:October 2010
pp. 272-274
The asymptotic stability of transiently chaotic neural networks is mainly studied in synchronously updating mode, and some results on the asymptotic stability of the networks are obtained by defining an energy function and taking some inequality techniques...
 
AI and Global Science and Technology Assessment
Found in: IEEE Intelligent Systems
By Hsinchun Chen, Ronald N. Kostoff, Chaomei Chen, Jian Zhang, Michael S. Vogeley, Katy Börner, Nianli Ma, Russell J. Duhon, Angela Zoss, Venkat Srinivasan, Edward A. Fox, Christopher C. Yang, Chih-Ping Wei
Issue Date:July 2009
pp. 68-88
Strength in science & technology (S&T) is the foundation of a nation's economic power, so an effective, automated means of continually assessing this strength is critical to understanding a country's economic status. Six essays on global S&...
 
Stability Conditions for Discrete Delayed Hopfield Networks in Serial Updating Mode
Found in: International Conference on Natural Computation
By Run-Nian Ma, Hua-Feng Guan, Sheng-Rui Zhang
Issue Date:October 2008
pp. 334-338
The discrete Hopfield neural networks is a famous networks with a wide range applications. The discrete delayed Hopfield neural networks are an extension of the discrete Hopfield neural networks. The stability of the networks is known to be bases of succes...
 
Stability Conditions for Discrete Delayed Hopfield Neural Networks
Found in: International Conference on Natural Computation
By Run-Nian Ma, Peng Chu, Sheng-Rui Zhang
Issue Date:August 2007
pp. 468-472
The stability of neural networks is not only the most basic and important problem but also the foundation of some neural network?s applications. In this paper, the stability of discrete delayed Hopfield neural networks is mainly investigated by constructin...
 
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