神经网络在非线性随机分析中的应用  

THE APPLICATION OF THE NEURAL NETWORKS IN NONLINEAR STOCHASTIC ANALYSIS

作　　者：朱丽萍[1] 张圣坤[1] 

机构地区：[1]上海交通大学,上海200030

出　　处：《上海力学》1997年第4期281-289,共9页Chinese Quarterly Mechanics

摘　　要：用改进的BP算法结合改进的点估计法来进行结构非线性随机分析的概率特性计算。在加权残值法计算的基础上,进行了两端刚固的闭合圆柱壳失稳的可靠性计算,表明了该方法的有效性。In this paper, the improved BP algorithm combined with the method of improved point estimation is used to compute the characteristic probability in the nonlinear stochastic structural analysis.By the method of weighted residuals the reliability of the unstability of the closed cylindrical shell with both ends built-in is calculated. Results show the validity of the present method.

关 键 词：神经网络 结构力学 非线性分析 随机分析 

分 类 号：O342[理学—固体力学] TP18[理学—力学]