Application of BP neural network to assessment of noncohesive piping-typed soils

ZHAO Zhengxin; CHEN Jiansheng; CHEN Liang

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Volume 30 Issue 4

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Chinese Journal of Geotechnical Engineering > 2008 > 30(4): 536-540.

ZHAO Zhengxin, CHEN Jiansheng, CHEN Liang. Application of BP neural network to assessment of noncohesive piping-typed soils[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 536-540.

Citation:

ZHAO Zhengxin, CHEN Jiansheng, CHEN Liang. Application of BP neural network to assessment of noncohesive piping-typed soils[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 536-540.

Citation:

ZHAO Zhengxin, CHEN Jiansheng, CHEN Liang. Application of BP neural network to assessment of noncohesive piping-typed soils[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 536-540.

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Application of BP neural network to assessment of noncohesive piping-typed soils

Institute of Geotechnical Engineering Hohai University Nanjing 210098 China

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Published Date: April 14, 2008

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Abstract

Abstract

The application of neural network toolbox(NNT) based on MATLAB to the assessment of the noncohesive piping-typed soils was mainly illustrated by using the tool of NNT.The feed forward back propagation(BP) network model object for assessment of noncohesive piping-typed soils was created.As an example,the seepage destory formation in some areas of Yellow River and some test example were analyzed here.
- BP neural network,
- noncohesive soils,
- piping-typed soils,
- piping