The Adaptive Fuzzy Training BP Neural Network for Fault Pattern Recognition
Liu Bin; Xie Ping(The College of Eectrical Engineering, Yanshan University，Qinhuangdao 066004)
It was found that standard BP algorithm convergesslowly and has local minimum, and some improved BP algo-rithms have their limitations. In this paper, a adaptive fuzzyaccelerating training network used in fault pattern recognitionis proposed which can adaptively adjust the sttucture of net-work, learning rate, momentum coefficient and activationfunction in the training process by fuzzy controller. The simu-lation result verifies it has better performance than normal al-gorithms.