起重运输机械Issue(1)：28-32,5.
基于遗传神经网络的电梯故障诊断技术研究
摘要
Abstract
Based on the elevator machinery,safe protection,electricity,and speed regulation control,the characteristic sample data are collected as the input of BP neural network to optimize the weight and threshold of the neural network using genetic algorithm.The test shows that the neural network optimized by the genetic algorithm can reduce the calculating amount,shorten training time,improve the network stability,and effectively raise accuracy of fault diagnosis.关键词
电梯/权值/阈值/故障诊断/遗传算法/神经网络Key words
elevator/weight/threshold/fault diagnosis/genetic algorithm/neural network分类
建筑与水利引用本文复制引用
冯鑫,夏洪山,冯月贵,刘君强,张润..基于遗传神经网络的电梯故障诊断技术研究[J].起重运输机械,2017,(1):28-32,5.基金项目
国家自然科学基金(编号U1533128) （编号U1533128）
