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World Scientific Publishing, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 03(13), p. 671-676

DOI: 10.1142/s0218127403006819

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Dynamic Associative Memory Based on Neural Network With Chaotic Control

Journal article published in 2003 by Hongping Chen, Zhitong Cao, Jinsheng Jin
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Dynamic associative memory is realized by chaotic neural network with feedback pinnings. When the inputs deviate obviously from the reference samples, which give the result that the correct association cannot be obtained through the inherent tolerance function of the chaotic neural network, the pinnings can quickly retrieve the original memory of the chaotic neural network. The simulation experiments of both the dynamic associative memory and the retrieval process are done by using the above method for the faults of broken rotor bars on an induction motor. The results show that the feedback pinning is a simple and effective control method to the chaotic neural network.