联想记忆神经网络的一个有效学习算法

提出一种新的联想记忆网络模型的有效学习算法,它具有下述特点:(1)可以全部存 储任意给定的训练模式集,即对于训练模式的数目和它们之间相关性的强弱没有限制;(2)最 小的训练模型吸引域达到最大;(3)在(2)的基础上,每个训练模式具有尽可能大的吸引域; (4)联想记忆神经网络是全局稳定的.大量的计算机仿真实验结果充分说明所提出的学习算 法比已有算法具有更强的存储能力和联想容错能力.

An Efficient Learning Algorith for Associative Memory Neural Network

A new and efficient learning algorithm of asociative memory neural network is proposed,with the following characteristics:(1)it can store any given training pattern set no matter how much and what correlation among them may be;(2)the smallest domain of attraction of training patterns is maximized;(3)each domain of attraction of training patterns is guaranteed to be as large as possible;(4)the designed associative memory network is globally stable.A large number of computer experimental results confirm that our algorithm possesses more powerful storage ability and more fault tolerance capability than existing ones.