基于BP神经网络的起重船臂架结构优化设计

Floating Crane Arm Frame Structure Optimization Design Based on BP Neural Network

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.

For the structure design and calculation of floating crane arm, BP neurat network algorttnm 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 analy zing the result after optimization and the values before optimization, the BP neural network optimiza tion algorithm is fully verified.