A kind of self associative memory model about controllable tolerant fault field is designed.
设计了一种可控容错域的自联想记忆模型。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
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 modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
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.
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。
Modified Multi-valued Exponential Correlation Associative Memory Model (MMECAM) is a neural network with higher storage capacity.
多值指数关联联想记忆模型（MMECAM）是一种高存储容量的自联想记忆神经网络。
Some properties about the Asymmetric Associative Memory Model(AAM) were discussed and sufficient conditions for the stability of AAM were given both for discrete form and for continuous form.
本文讨论了非对称联想记忆模型的若干性质，并给出了在连续和离散两种情况下判别其稳定性的充分条件。
Some properties about the Asymmetric Associative Memory Model(AAM) were discussed and sufficient conditions for the stability of AAM were given both for discrete form and for continuous form.
本文讨论了非对称联想记忆模型的若干性质，并给出了在连续和离散两种情况下判别其稳定性的充分条件。
应用推荐