Synchronization of complex interconnected neural networks with adaptive coupling

Authors:
Zhanshan Wang;Yongbin Zhao;Shuxian Lun
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, People's Republic of China;School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, People's Republic of China;College of Engineering, Bohai University, Jinzhou, People's Republic of China
Venue:
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Year:
2012

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Abstract

An decentralized adaptive coupling adjusting law is proposed to synchronize a class of complex interconnected neural networks with delayed coupling. The proposed method can sufficient use the neighbor information of the nodes to adjust the connection strengths of the coupled matrix adaptively, which will lead to the self-synchronization of the complex networks without the external control influence on the networks. Some remarks are used to show the effectiveness of the proposed method.