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。
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.
提出一种广义人工脑感知联想记忆模型，给出它的实现算法。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
首先介绍了双向联想记忆的模型和算法，接着给出一个应用例子。
The algorithm of bidirectional associative memory and its bidirectional stability are included, an example is given to illustrate the process.
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