Dynamic associative memory based on neural network with chaotic control

被引：2

作者：

Chen, HP ^{[1
]}

Cao, ZT ^{[1
]}

Jin, JS ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Phys, Hangzhou 310028, Peoples R China

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2003年 / 13卷 / 03期

关键词：

dynamic associative memory; neural network; chaotic control;

D O I：

10.1142/S0218127403006819

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：671 / 676

页数：6

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