同时实现自调幅和异调幅:对Hopfield模型的修正

Hanying Zhou
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引用次数: 0

摘要

在人脑活动中同时实现自调幅和异调幅是一件有趣的事情。本文提出了对基本Hopfield神经网络模型的一种修正。这种模式可以同时作为两种类型的联想记忆,而内存增加较少。给出了信噪比的计算机仿真和分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous realization of auto- and hetero-AM: a modification of Hopfield model
It is interesting to realize auto- & hetero- AM simultaneously as human brain acts. In this paper, a modification of basic Hopfield neural network model is proposed. This model can function simultaneously both as two classes of associative memory with less increase in memory. The result of computer simulation and analysis of the SNR is given.
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