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 modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
将一种改进了的神经网络联想记忆模型应用于雷达伺服分系统的BIT设计中，取得了比较满意的效果。
A new model of neural network associative memory is introduced into the BIT design of radar servo sub-system, which achieves satisfactory effect.
然后运用神经网络模型的非线性映射能力和学习联想能力，提出了证券市场预测的通用模型。
Then, We creatively make use of the nonlinear reflection ability and association learning ability of artificial neural network, and propose a general model of the stock market prediction.
应用推荐