| 引用本文: | 刘普寅.Min-max 模糊 Hopfield 网络的一个基于容错性的学习算法.[J].国防科技大学学报,1998,20(1):109-114.[点击复制] |
| Liu Puyin.A Learning Algorithm Based on Fault-tolerance for Min-max Fuzzy Hopfield Networks[J].Journal of National University of Defense Technology,1998,20(1):109-114[点击复制] |
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| Min-max 模糊 Hopfield 网络的一个基于容错性的学习算法 |
| 刘普寅 |
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(国防科技大学 系统工程与数学系 湖南 长沙 410073)
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| 摘要: |
| 在一定的条件下证明了 Min-max 模糊 Hopfield 网络吸引子的吸引域随着连接权矩阵的减小而增大，在此基础上，设计了一个基于容错性的学习算法。在一定的意义下，用该学习算法得到的矩阵最小，从而此时系统具有最优容错性。最后用实例验证了结论。 |
| 关键词: Min-max 模糊 Hopfield 网络.容错性，吸引子，吸引域 |
| DOI： |
| 投稿日期：1997-04-15 |
| 基金项目:国防预研基金资助项目 |
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| A Learning Algorithm Based on Fault-tolerance for Min-max Fuzzy Hopfield Networks |
| Liu Puyin |
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(Department of Systems Engineering and Mathematics，NUDT，Changsha，410073)
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| Abstract: |
| In the paper，we prove under some conditions，that the attractive basin of the attractor of min-max fuzzy Hopfield network increases when the connected weighted matrix decreases. In accordance with this conclusion，we design a learning algorithm based on the fault-tolerance of the network，the matrix obtained by the learning algorithm is minimum，consequently，the fault-tolerance of the network is optimal. Finally，the example demonstrates our conclusions. |
| Keywords: Min-max fuzzy Hopfield network,fault-tolerance,attractor,attractive basin |
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