| 引用本文: | 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.[点击复制] |
| MIAO Zhi-qiang,WANG Yao-nan.Realization of associative memory using chaotic neural network via phase space compression[J].Control Theory and Technology,2011,28(11):1658~1664.[点击复制] |
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| 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 |
| 摘要点击 2374 全文点击 1339 投稿时间：2010-09-27 修订日期：2010-12-29 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.11.CCTA101142 |
| 2011,28(11):1658-1664 |
| 中文关键词 混沌神经网络 混沌控制 相空间压缩 联想记忆 |
| 英文关键词 chaotic neural network controlling chaos phase space compression associative memory |
| 基金项目 国家自然科学基金重点资助项目(60835004). |
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| 中文摘要 |
| 给出了利用相空间压缩法控制混沌神经网络, 使得网络能够收敛于存储的目标模式的充分条件和必要条件. 通过数学分析, 得到了相空间压缩控制方法中对应参数的上下限; 并通过对仿真结果的分析, 提出了通过改变相空间压缩控制方法中对应的参数来实现混沌神经网络联想记忆的新方法. 以上结果均通过仿真得到验证. |
| 英文摘要 |
| 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. |