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相空间压缩法实现混沌神经网络联想记忆

缪志强 王耀南

控制理论与应用2011,Vol.28Issue(11):1658-1664,7.
控制理论与应用2011,Vol.28Issue(11):1658-1664,7.

相空间压缩法实现混沌神经网络联想记忆

Realization of associative memory using chaotic neural network via phase space compression

缪志强 1王耀南1

作者信息

  • 1. 湖南大学电气与信息工程学院,湖南长沙410082
  • 折叠

摘要

Abstract

We develop the necessary and sufficient conditions for a chaotic neural network to converge to the stored target patterns. The upper and lower limits of the corresponding parameters in the phase space compression control method are obtained. An associative memory scheme is proposed through the analysis of simulation results. The scheme is realized by changing the corresponding parameters in the phase space compression control method. These results are validated by simulations.

关键词

混沌神经网络/混沌控制/相空间压缩/联想记忆

Key words

chaotic neural network/controlling chaos/phase space compression/associative memory

分类

信息技术与安全科学

引用本文复制引用

缪志强,王耀南..相空间压缩法实现混沌神经网络联想记忆[J].控制理论与应用,2011,28(11):1658-1664,7.

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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