摘要
将BP神经网络引入平面张弦梁结构的优化分析,并针对离散变量结构的拟满应力法加以改进,与遗传算法相结合从而构成一种新型组合优化方法,并将该法应用于平面张弦梁结构算例的优化分析,结果表明了算法有效可靠,最后对算法的计算精度和速度进行了讨论。
Combined with GA, BP neural network is introduced into the optimization analysis of beam string structures and the imitated full-stress method for structures with discrete variables is amended to form a new type of combinational optimization method. Furthermore, the new method is applied into the BSS computational example, results verify the validity and reliability of the algorithm. Finally the computational precision and computing speed are discussed.
出处
《广东交通职业技术学院学报》
2008年第1期34-38,共5页
Journal of Guangdong Communication Polytechnic
关键词
张弦梁结构
优化
神经网络
遗传算法
拟满应力法
beam string structures
optimization
artificial neural network
genetic algorithm
imitated full-stress method
