摘要
提出了多重BP(BackPropagation)神经网络分流结构,以减少BP算法的学习时间,提高故障模式识别率。把这种方法应用于控制系统的故障诊断,实验结果证明,该方法可行,收到满意效果。
A dividing structure of multi-BP neural networks was presented,which could decrease the learning time of BP algorithm and promote the recognizing rate of fauIt mod-els.The experimental results showed that it was feasible and satisfied for the method beingused in fault diagnosis of control svstem.
关键词
神经网络
反向传播
分流
故障诊断
控制系统
neural networks,BP(Back Propagation),dividing structure,fault diagnosis