Activation Function of Wavelet Chaotic Neural Networks

In this paper, we studied the activation function of chaotic neural network, at first we review Chen's chaotic neural network and then propose a novel chaotic neural network model whose activation function is compose of sigmoid and wavelet function. Second, we make an analysis of the largest Ly...

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Bibliographic Details
Main Authors: Yao-qun Xu, Ming Sun, Meng-shu Guo
Format: Conference Proceeding
Language:English
Subjects:
activation function
Bifurcation
Chaos
Chaotic neural network
Computer networks
Continuous wavelet transforms
Control theory
Damping
Neural networks
Neurons
Sun
the largest Lyapunov exponents
Traveling salesman problems
wavelet function
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Summary:In this paper, we studied the activation function of chaotic neural network, at first we review Chen's chaotic neural network and then propose a novel chaotic neural network model whose activation function is compose of sigmoid and wavelet function. Second, we make an analysis of the largest Lyapunov exponents and the reversed bifurcations of the neural units of Chen's and the proposed model. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel chaotic neural network model we propose is more valid
DOI:10.1109/COGINF.2006.365577