Letters: A novel hysteretic chaotic neural network and its applications

Authors:
Xiangdong Liu;Chunbo Xiu
Affiliations:
Laboratory (staff room) 231, Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;School of Computer Technology and Automation,Tianjin Polytechnic University,Tianjin 300160, China
Venue:
Neurocomputing
Year:
2007

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Abstract

A model of single neuron with chaotic and hysteretic characteristics is proposed. Neural network coupled by such neurons exhibits complex dynamic behaviors. The network is also studied from the viewpoint of optimization. Chaos and hysteresis phenomena make the network have the characteristic of escaping from a local minimum of the energy function, so it can find a global minimum more easily as compared with others. The experimental results show that it has a higher average success rate of obtaining a global optimization solution.