| 参数概率灵敏度分析的神经网络方法及其应用 |
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| 引用本文： | 何琴淑,杨玉明,肖世富.参数概率灵敏度分析的神经网络方法及其应用[J].计算力学学报,2011,28(Z1):29-32. |
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| 作者姓名： | 何琴淑 杨玉明 肖世富 |
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| 作者单位： | 中国工程物理研究院,总体工程研究所,绵阳,621900 |
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| 基金项目： | 国家基础研究计划，SAF基金，中物院科学技术发展基金 |
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| 摘 要： | 参数概率灵敏度分析是可靠性设计中非常重要的一项工作,它可以提供基本变量分布参数的变化引起可靠性的变化信息,为判断系统参数的重要性提供依据.本文将商用有限元计算.神经网络方法-Monte Carlo法相结合,基于这种快速响应模型的复杂结构可靠性分析方法,针对结构随机参数的概率灵敏度分析,提出一个考虑随机变量全局分散性的新...
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| 关 键 词： | 神经网络 Monte Carlo 快速响应模型 概率灵敏度 |
Neural network method in parametric probabilistic sensitivity analysis and its application |
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| HE Qin-shu,YANG Yu-ming,Xiao Shi-fu.Neural network method in parametric probabilistic sensitivity analysis and its application[J].Chinese Journal of Computational Mechanics,2011,28(Z1):29-32. |
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| Authors: | HE Qin-shu YANG Yu-ming Xiao Shi-fu |
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| Institution: | HE Qin-shu~*,YANG Yu-ming,Xiao Shi-fu (Institute of Structural Mechanics,CAEP,Mianyang 621900,China) |
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| Abstract: | The analysis of parametric probabilistic sensitivity analysis is important for reliability-based design, which shows changes of system reliability caused by the change of basic variances.In this paper,the commerical FE simulation-neural network-Monte Carlo methods were used together,based on the quick-response model,the parametric probabilistic sensitivity was analyzed too,and a new scaling parameter was presented here considering the global disperisty of stochastic parameters.The sensitivity indices can be... |
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| Keywords: | neural network monte Carlo quick-response model probabilistic sensitivity |
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