Li Guihua, Zhong Shouming, Jing Ming. L2-Gain Stability of Neural Networks[J]. Journal of University of Electronic Science and Technology of China, 2001, 30(4): 429-433.
Citation:
Li Guihua, Zhong Shouming, Jing Ming. L2-Gain Stability of Neural Networks[J]. Journal of University of Electronic Science and Technology of China, 2001, 30(4): 429-433.
Li Guihua, Zhong Shouming, Jing Ming. L2-Gain Stability of Neural Networks[J]. Journal of University of Electronic Science and Technology of China, 2001, 30(4): 429-433.
Citation:
Li Guihua, Zhong Shouming, Jing Ming. L2-Gain Stability of Neural Networks[J]. Journal of University of Electronic Science and Technology of China, 2001, 30(4): 429-433.
This paper investigates the L2-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 L2-gain stability is given, when networks are affected by inner and external perturbation.
ISSN 
DownLoad: