The analysis of the energy function of chaotic neural network with white noise

Authors:
Yaoqun Xu;Feng Qin
Affiliations:
Institute of Computer and Information Engineering, Harbin University of Commerce, Harbin, China;Institute of Computer and Information Engineering, Harbin University of Commerce, Harbin, China
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

In order to study the anti-noise capability of chaotic neural network in this paper, noise function is introduced into Chen's chaotic neural network model. The time evolution of the reverse bifurcation and the Lyapunov exponents is applied to study the neuron of chaotic neural network model with white noise. Based on the chaotic neuron model, we construct the chaotic neural network model with white noise, and study its energy function The simulation result illustrates the influence of white noises on the model. The simulation results show that the system still has good optimization ability under the white noises with suitable parameter.