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A Hopfield Network with Exponential Storage Ability

Mario Nicholas Fulan

出版	Ohio State University, 1988
URL	http://books.google.com.hk/books?id=mLkkywAACAAJ&hl=&source=gbs_api

註釋

A method for storing a large number of exemplars in a Hopfield neural network is presented. Specifically, it is shown how a network of N neurons can store as many as N!/[(N/2)!]2 exemplars. However, this network has poor noise immunity because the Hamming distance between exemplars is very small. Therefore, a method is also presented for altering the original neural network by modifying its transmission matrix to reduce the number of exemplars and obtain better noise immunity.