具有期望容错域的前向掩蔽联想记忆模型的设计方法

A Design Method of Ahead Masking Associative Memory Model with Expecting Fault-Tolerant Field

联想记忆的综合问题是目前没有很好解决的难题.文中用作者提出的通用前馈网络和排序学习算法,提出了一种设计具有期望容错域的前向掩蔽联想记忆模型的方法.该方法一般性地解决了信息空间上联想记忆的综合难题,使设计出的联想记忆模型具有任意期望的记忆样本容错域.

The synthesis problems of associative memory models are not better solved until now. A design method of ahead masking associative memory model with expecting fault-tolerant field is proposed by use of the general feed-forward network and sequential learning algorithm given by authors. The method better solves the difficult synthesis problems of associative memory models. The ahead masking associative memory model designed by the method have any expecting fault-tolerant fields about the samples.