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《Journal of University of Electronic Science and Technology of China》 2001-04
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L~2-Gain Stability of Neural Networks

Li Guihua (CAAC Flying College Sichuan Guanghan 618307) Zhong Shouming Jing Ming (Dept. of Applied Mathematics, UEST of China Chengdu 610054)  
This paper investigates the -gain stability of perturbed neural networks by analyzing finite-gain stability of control systems. Using the method of variations of the parameters, the method of Liapunov function and the method of inequality analysis, an sufficient condition guaranteeing networks -gain stability is given, when networks are affected by inner and external perturbation.
【Fund】: 国家自然科学基金资助项目,编号:6987100
【CateGory Index】: TP183
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【Citations】
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【Co-citations】
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