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  • 标题:Prediction of Shear Characteristics of Unsaturated Soil Based on BP Neural Network
  • 本地全文:下载
  • 作者:Jia Lei Liang ; Guang Ri Jin ; Zhi Xie Shen
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:165
  • 页码:1-4
  • DOI:10.1051/e3sconf/202016503034
  • 出版社:EDP Sciences
  • 摘要:The prediction model of shear strength parameters of unsaturated soil based on indoor test data is established by using BP neural network. Five kinds of network models with different number of hidden layer nodes are trained and studied, and the best network model is selected to conduct the prediction. The results show that the optimal BP network model is a single hidden layer structure of 8-16-2. Using this model to predict, the correlation coefficient and regression coefficient between the predicted value and the measured value are high, and the predicted result is reliable, so the method has certain practicability.
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