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A study of the transiently chaotic neural network for combinatorial optimization

✍ Scribed by Zhen Ding; Henry Leung; Zhiwen Zhu

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
749 KB
Volume
36
Category
Article
ISSN
0895-7177

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✦ Synopsis

consider the dynamic behavior of the transiently chaotic neural network (TCNN). Although its dynamical behavior is of interest in investigating neural dynamics, we observed that the chaotic phase in a TCNN is not a necessary condition for the network to reach the global solution for a combinatorial optimization problem. In fact, the global solution is a result of the time varying terms in a TCNN. We, therefore, generalized the TCNN to a nonautonomous Hopfield neural network (NAHNN). Simulation shows that the NAHNN is very effective in solving the traveling salesman problem (TSP).

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