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Controlling chaos in a chaotic neural network

He, Dr G. and Cao, Prof. Z. and Zhu, Prof. P. and Ogura, Prof. H. (2003) Controlling chaos in a chaotic neural network. [Journal (Paginated)] (In Press)

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Abstract

The chaotic neural network constructed with chaotic neuron shows the associative memory function, but its memory searching process cannot be stabilized in a stored state because of the chaotic motion of the network. In this paper, a pinning control method focused on the chaotic neural network is proposed. The computer simulation proves that the chaos in the chaotic neural network can be controlled with this method and the states of the network can converge in one of its stored patterns if the control strength and the pinning density are chosen suitable. It is found that in general the threshold of the control strength of a controlled network is smaller at higher pinned density and the chaos of the chaotic neural network can be controlled more easily if the pinning control is added to the variant neurons between the initial pattern and the target pattern.

Item Type:Journal (Paginated)
Keywords:Chaotic dynamic; Chaotic neural network; Controlling chaos; Pinning control method
Subjects:Computer Science > Dynamical Systems
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:3001
Deposited By: He, Dr Guoguang
Deposited On:06 Apr 2004
Last Modified:11 Mar 2011 08:55

References in Article

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