摘要
针对使用 BP算法的多层感知器中存在的网络学习收敛速度慢，容易陷入局 部极小等问题，采用一个改进的算法，对设备故障进行了诊断和分析研究 .以某柴油机供油 系统为例，对其中的几种常见故障进行了诊断研究 ,从中可以看出，改进算法加快了收敛速 度，诊断的精度也有所提高 .
A new improved algorithm (IBP) was adopted aiming at the problems o f slow convergence rate and easily falling into part minimums in network study ing of perceptions using BP algorithm. Taking the supply oil system of diesel en gine as example, the common fautls are diagnosed adopting IBP algorithms. It ca n be obtained that this method improves the precise of diagnosis and prediction, quickens the tempo of convergence.
出处
《沈阳工业大学学报》
EI
CAS
2001年第3期252-254,共3页
Journal of Shenyang University of Technology
