Abstract
In this paper, we first review Chen’s chaotic neural network model and then propose a novel wavelet chaotic neural network. Second,we apply them to search global minima of a continuous function, respectively. Meanwhile, the time evolution figures of the corresponding most positive Lyapunov exponent are given. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel wavelet chaotic neural network is more valid.
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