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14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02)
A Neural-Network Approach to Modeling and Analysis
Washington, DC
November 04-November 06
ISBN: 0-7695-1849-4
Chen-Yuan Chen, National Sun Yat-Sen University
Cheng-Wu Chen, National Central University
Wei-Ling Chiang, National Central University
Jing-Dong Hwang, National Central University
It is known that backpropagation network is always used to modeling. This study is concerned with the stability problem of a neural network (NN) system which consists of a few subsystems represented by NN models. In this paper, the dynamics of each NN model is converted into linear inclusion representation. Subsequently, based on the representations, the stability conditions in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN systems.
Index Terms:
Lyapunov theory, neural network
Citation:
Chen-Yuan Chen, Cheng-Wu Chen, Wei-Ling Chiang, Jing-Dong Hwang, "A Neural-Network Approach to Modeling and Analysis," ictai, pp.489, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002
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