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应用神经网络理论估算黄土边坡稳定性的安全系数,用黄土边坡实例作为输入样本,建立神经网络BP模型,以安全系数作为输出值,进行实验。试验结果表明,该方法计算所得安全系数较为可靠,可用于边坡稳定性分析。
The safety factor of loess slope stability is estimated by using neural network theory. The loess slope example is taken as input sample, and the BP neural network model is established. The safety factor is taken as the output value to carry out the experiment. The test results show that the safety factor calculated by this method is more reliable and can be used for slope stability analysis.