Improvement of the Hopfield Neural Network by MC-Adaptation Rule
ZHOU Zhen, ZHAO Hong
Department of Physics, Xiamen University, Xiamen 361005
Improvement of the Hopfield Neural Network by MC-Adaptation Rule
ZHOU Zhen;ZHAO Hong
Department of Physics, Xiamen University, Xiamen 361005
关键词 ：
05.45.-a ,
84.35.+i
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.
Key words ：
05.45.-a
84.35.+i
出版日期: 2006-06-01
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2006, Vol. 23 
