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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Xu, Y. Q., Sun, M., & Duan, G. (2006). Wavelet chaotic neural networks and their application to optimization problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 379–384). Springer Verlag. https://doi.org/10.1007/11759966_57
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