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基于BP神经网络的起重船臂架结构优化设计
引用本文:张成凤,徐长生.基于BP神经网络的起重船臂架结构优化设计[J].武汉理工大学学报(交通科学与工程版),2012,36(3):590-593.
作者姓名:张成凤  徐长生
作者单位:武汉理工大学物流工程学院 武汉430063
摘    要:针对起重船臂架结构设计计算,采用BP神经网络算法模拟出臂架结构优化设计变量与臂架结构应力、位移之间的映射关系,并调用MATLAB优化工具箱中的最小化函数对臂架结构的约束条件以及目标函数进行优化处理,并将优化后的结果与优化之前的数值进行对比分析,充分地验证了BP神经网络优化算法的优越性.

关 键 词:臂架结构  BP神经网络  有限元分析  优化

Floating Crane Arm Frame Structure Optimization Design Based on BP Neural Network
Zhang Chengfeng , Xu Changsheng.Floating Crane Arm Frame Structure Optimization Design Based on BP Neural Network[J].journal of wuhan university of technology(transportation science&engineering),2012,36(3):590-593.
Authors:Zhang Chengfeng  Xu Changsheng
Institution:Zhang Chengfeng Xu Changsheng(Department of Logistics Engineering,WUT,Wuhan 430063,China)
Abstract:For the structure design and calculation of floating crane arm,BP neural network algorithm is used to simulate the relations between the arm frame structure optimization design variables and arms frame structure stress and displacement,and calling the minimize function of MATLAB optimal toolbox to optimized the arm constraint conditions and the objective function.Comparing and analyzing the result after optimization and the values before optimization,the BP neural network optimization algorithm is fully verified.
Keywords:arm frame structure  BP neural network  finite element analysis  optimization
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