Prediction of Shear Strength Parameters <i>c</i> & φ of Soil by BP Neural Networks

ZHANG Gao-feng; LIANG Bin-qiao; CHEN Hui-qin

Jul. 2021

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ZHANG Gao-feng, LIANG Bin-qiao, CHEN Hui-qin. Prediction of Shear Strength Parameters c & φ of Soil by BP Neural Networks[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2006, 20(1): 36-38,44.

Citation:

ZHANG Gao-feng, LIANG Bin-qiao, CHEN Hui-qin. Prediction of Shear Strength Parameters c & φ of Soil by BP Neural Networks[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2006, 20(1): 36-38,44.

ZHANG Gao-feng, LIANG Bin-qiao, CHEN Hui-qin. Prediction of Shear Strength Parameters c & φ of Soil by BP Neural Networks[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2006, 20(1): 36-38,44.

Citation:

ZHANG Gao-feng, LIANG Bin-qiao, CHEN Hui-qin. Prediction of Shear Strength Parameters c & φ of Soil by BP Neural Networks[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2006, 20(1): 36-38,44.

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Prediction of Shear Strength Parameters c & φ of Soil by BP Neural Networks

1. Hebei Road and Bridge Transportation Co., Lt., Shijiazhuang Hebei 050031;
2. East China Branch of the Eleventh Design & ResearchInstitute of IT, Co, LTD, Wuxi Jiangsu 214071;
3. Shijiazhuang University of Economics, Shijiazhuang Hebei 050031 China

Received Date: 2005-06-27
Available Online: 2021-07-06

Abstract

Abstract

Based on the artificial neural network(ANN), the method for prediction of shear strength parameters c、φ of soil is presented. The predicting model in engineering is established in details. It is shown that the result of prediction is very close to the result of testing. So ANN would be widely used in the aspect of soil property parameters.
- BP neural networks,
- c、φ,
- prediciting