On the stability of the travelling salesman problem algorithm of Hopfield and Tank
Biological Cybernetics
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Shannon wavelet chaotic neural networks
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Wavelet chaotic neural networks and their application to optimization problems
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Gauss wavelet chaotic neural networks
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Chaos control on universal learning networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Oscillatory and chaotic dynamics in neural networks under varying operating conditions
IEEE Transactions on Neural Networks
Neural techniques for combinatorial optimization with applications
IEEE Transactions on Neural Networks
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Chaotic neural networks have been proved to be powerful tools to solve the optimization problems. And the chaotic neural networks whose activation function is non-monotonous will be more effective than Chen's chaotic neural network in solving optimization problems, especially in searching global minima of continuous function and traveling salesman problems. In this paper, a novel chaotic neural network for function optimization is introduced. In contrast to the Chen's chaotic neural network, the activation function of the novel chaotic neural network is wavelet function and the different-parameters annealing function are adopted in different period, so it performs extremely better when compared to the convergence speed and the accuracy of the results. And two elaborate examples of function optimization are given to show its superiority. This chaotic neural network can be a new powerful approach to solving a class of function optimization problems.