起重运输机械Issue(4)：61-64,4.
基于遗传算法的BP神经网络在塔式起重机故障诊断中的应用
摘要
Abstract
To solve the problems such as slow convergence rate and easily getting the local minimum solutions existing in BP neural network, this paper improves the genetic algorithm taking advantages of its strong random searching capability and easily converging to the global optimum solution, establishes connections between genetic algorithm and BP neural network by reciprocal of error square sum, and with improved network weights and threshold value as an objective optimizes neural network structure in order to more effectively apply the improved network for prediction and identification. When applying to state recognition of tower crane, it can effectively perform diagnosis to tower crane.关键词
塔式起重机/BP神经网络/遗传算法/优化/故障诊断Key words
tower crane/BP neural network/genetic algorithm/optimization/diagnosis分类
信息技术与安全科学引用本文复制引用
尚敬强,原思聪,卫东东,肖畅..基于遗传算法的BP神经网络在塔式起重机故障诊断中的应用[J].起重运输机械,2012,(4):61-64,4.基金项目
国家十二五科技支撑计划资助(2010 BAE00372-2) （2010 BAE00372-2）
