Fourier series chaotic neural networks

Authors:
Jia-hai Zhang;Chen-zhi Sun;Yao-qun Xu
Affiliations:
College of Electrical and Automatic Engineering, Sanjiang University, Nanjing, China;College of Electrical and Automatic Engineering, Sanjiang University, Nanjing, China;Institute of System Engineering, Harbin University of Commerce, Harbin, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

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Abstract

In this paper, Fourier series chaotic neural network model is presented to improve the ability to escape the local minima so that it can effectively solve optimization problems 10-city traveling salesman problem was given and the effects of the non-monotonous degree in the model on solving 10-city traveling salesman problem were discussed, the figures of the reversed bifurcation and the maximal Lyapunov exponents of single neural unit were given The new model is applied to solve several function optimizations Seen from the simulation results, the new model is powerful than the common chaotic neural network.