Chaotic cellular neural networks with negative self-feedback

Authors:
Wen Liu;Haixiang Shi;Lipo Wang;Jacek M. Zurada
Affiliations:
College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China;School of Electrical and Electronic Engineering, Nanyang Technology University, Block S1, Singapore;College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China;School of Electrical and Electronic Engineering, Nanyang Technology University, Block S1, Singapore
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

We propose a new model of Chaotic Cellular Neural Networks (C-CNNs) by introducing negative self-feedback into the Euler approximation of the continuous CNNs. According to our simulation result for the single neuron model, this new C-CNN model has richer and more flexible dynamics, compared to the conventional CNN with only stable dynamics. The hardware implementation of this new network may be important for solving a wide variety of combinatorial optimization problems.