基于BP神经网络的土体抗剪强度参数的预测

On forecasting of soil shearing strength parameter based on BP neural network

通过BP神经网络方法,利用某高速公路工程黄草坝滑坡体的土工试验数据,建立合适的预测模型,然后利用该模型来预测该滑坡体的抗剪强度指标并与土工实验结果相对比,结果表明,该模型对土体的抗剪强度进行了很好的预测,对土体工程具有重要的应用价值。

According to the BP neural network method,the paper adopts the civil experimental data of landslide on Huangcaoba in some expressway project,establishes the suitable forecasting model,and forecasts the shearing strength index of the landslide by using the model and undertakes the comparison with its civil experimental results,and proves the model has better forecasting for the shearing strength of the earth body,so as to have the importance application value of the soil projects.