Parameters Inversion of Fluid-Saturated Porous Media Based on Neural Networks

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	Parameters Inversion of Fluid-Saturated Porous Media Based on Neural Networks
	Wei PJ(魏培君); Zhang ZM; Han H
刊名	Acta Mechanica Solida Sinica
	2002
卷号	15 期号:4 页码:342-349
ISSN号	0894-9166
通讯作者	Wei, PJ (reprint author), Natl Jiaotong Univ, Inst Mech, Beijing 100044, Peoples R China.
中文摘要	The multi-layers feedforward neural network is used for inversion of material constants of fluid-saturated porous media. The direct analysis of fluid-saturated porous media is carried out with the boundary element method. The dynamic displacement responses obtained from direct analysis for prescribed material parameters constitute the sample sets training neural network. By virtue of the effective L-M training algorithm and the Tikhonov regularization method as well as the GCV method for an appropriate selection of regularization parameter, the inverse mapping from dynamic displacement responses to material constants is performed. Numerical examples demonstrate the validity of the neural network method.
英文摘要	The multi-layers feedforward neural network is used for inversion of material constants of fluid-saturated porous media. The direct analysis of fluid-saturated porous media is carried out with the boundary element method. The dynamic displacement responses obtained from direct analysis for prescribed material parameters constitute the sample sets training neural network. By virtue of the effective L-M training algorithm and the Tikhonov regularization method as well as the GCV method for an appropriate selection of regularization parameter, the inverse mapping from dynamic displacement responses to material constants is performed. Numerical examples demonstrate the validity of the neural network method.
学科主题	力学
类目[WOS]	Materials Science, Multidisciplinary ; Mechanics
研究领域[WOS]	Materials Science ; Mechanics
收录类别	SCI
语种	英语
WOS记录号	WOS:000182116000007
公开日期	2007-06-15 ; 2007-12-05 ; 2009-06-23
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/15935]
专题	力学研究所_力学所知识产出(1956-2008)
推荐引用方式 GB/T 7714	Wei PJ,Zhang ZM,Han H. Parameters Inversion of Fluid-Saturated Porous Media Based on Neural Networks[J]. Acta Mechanica Solida Sinica,2002,15(4):342-349.
APA	魏培君,Zhang ZM,&Han H.(2002).Parameters Inversion of Fluid-Saturated Porous Media Based on Neural Networks.Acta Mechanica Solida Sinica,15(4),342-349.
MLA	魏培君,et al."Parameters Inversion of Fluid-Saturated Porous Media Based on Neural Networks".Acta Mechanica Solida Sinica 15.4(2002):342-349.