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Simulation of Silty Clay Compressibility Parameters Based on Improved BP Neural Network Using Bayesian Regularization

CAI Run PENG Tao WANG Qian HE Fanmin ZHAO Duoying

中国地震研究（英文版）2020，Vol.34Issue(3)：378-393,16.

中国地震研究（英文版）2020，Vol.34Issue(3)：378-393,16.DOI:10.19743/j.cnki.0891-4176.202003009

Simulation of Silty Clay Compressibility Parameters Based on Improved BP Neural Network Using Bayesian Regularization

CAI Run ¹PENG Tao ¹WANG Qian ²HE Fanmin ³ZHAO Duoying¹

作者信息

1. Chengdu Surveying Geotechnical Research Institute, Co Ltd. of MCC,Chengdu 610023,China
2. Key Laboratory of Loess Earthquake Engineering, Gansu Earthquake Agency, Lanzhou 730000,China
3. Lanzhou Institute of Seismology,China Earthquake Administration,Lanzhou 730000,China
折叠

摘要

关键词

Silty clay/Compressibility/Correlation analysis/Bayesian regularization/Neural networks

Key words

Silty clay/Compressibility/Correlation analysis/Bayesian regularization/Neural networks

引用本文复制引用

CAI Run,PENG Tao,WANG Qian,HE Fanmin,ZHAO Duoying..Simulation of Silty Clay Compressibility Parameters Based on Improved BP Neural Network Using Bayesian Regularization[J].中国地震研究（英文版）,2020,34(3):378-393,16.

基金项目

This project is sponsored by the Basic scientific research business funding project of Institute of Seismic Prediction,CEA(2018 IESLZ06),the Natural Science Foundation of China(51778590)and Earthquake Science and Technology Spark Project(XH20057). （2018 IESLZ06）

中国地震研究（英文版）

OACSCD

ISSN：2096-9996

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