基于联想记忆神经网络的故障诊断

Fault diagnosis using associative memory neutral network

以模拟人脑由部分记忆而联想整体的特点为基础,通过引入联想记忆衰减因子,改进了神经网络结构和学习算法,以应用于系统的故障及时诊断.

Basec on simulating human brain to be remember by the part and that associating the whole characteristic as the foundation, and by inducting the associative memory attenuation factor, the neutral network structure and the learn arithmetic were developed apply in the system of fault diagnose in time.