A new set of sufficient conditions based on coupling parameters for synchronization of Hopfield like Chaotic Neural Networks

被引：0
作者：
Nariman Mahdavi
Mohammad Bagher Menhaj
机构：
[1] Amirkabir University of Technology,Nariman Mahdavi and Mohammad Bagher Menhaj are with the Electrical Engineering Department
来源：
International Journal of Control, Automation and Systems | 2011年 / 9卷
关键词：
Chaos synchronization; chaotic neural network; logistic map; stabilization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we consider a Hopfield like Chaotic Neural Networks which have both self-coupling and non-invertible activation functions. We show that the interactions between neurons can be used as a means of chaos generation or suppression to neuron’s outputs when more adaptability or stability is required. Furthermore, a new set of sufficient conditions based on coupling weights is proposed so that the synchronization of all neuron’s outputs with each other is guaranteed, when all neuron’s have identical activation functions. Finally, the effectiveness of the proposed approach is evaluated by performing simulations on three illustrative examples.
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页码：104 / 111
页数：7
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