用BP神经网络预测土抗剪强度指标c、φ

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

提出了应用BP神经网络来预测土抗剪强度指标c、φ。结合工程实例,详细介绍了该方法的建模过程,结果表明预测结果和实测结果很接近,神经网络在土性参数方面应用前景很广阔。

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.