模式汉明距离对Hopfield网络存储容量的影响

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1202172

S. K. Manandhar, R. Sadananda

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引用次数: 1

摘要

虽然Hopfield网络可以存储和检索模式，但其存储容量有限。本研究探讨了汉明距离对记忆模式检索成功的影响。结果表明，通过去除彼此之间汉明距离较低的模式，可以提高网络的容量。

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Effect of Hamming distance of patterns on storage capacity of Hopfield network

Although the Hopfield network can store and retrieve patterns, its storage capacity is limited. In this study we investigate the effect of Hamming distance of stored patterns on the success of their retrieval. The results show that by removing patterns having low Hamming distance with each other, the capacity of the network increases.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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