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Improvement of the Hopfield Neural Network by MC-Adaptation Rule |
| ZHOU Zhen;ZHAO Hong |
| Department of Physics, Xiamen University, Xiamen 361005 |
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| Cite this article: |
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ZHOU Zhen, ZHAO Hong 2006 Chin. Phys. Lett. 23 1402-1405 |
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Abstract We show that the performance of the Hopfield neural networks, especially the quality of the recall and the capacity of the effective storing, can be greatly improved by making use of a recently presented neural network designing method without altering the whole structure of the network. In the improved neural network, a memory pattern is recalled exactly from initial states having a given degree of similarity with the memory pattern, and thus one can avoids to apply the overlap criterion as carried out in the Hopfield neural networks.
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05.45.-a
84.35.+i
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Published: 01 June 2006
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