基于神经网络的多参数露天边坡稳定性分析

Open-pit slope stability analysis with multi-parameters based on neurl network

针对分析露天边坡稳定性的参数的不确定性和不完备性,精确分析方法在表达边坡系统各组成部分之间的非线性关系上有其局限性问题,依据神经网络建立的数学模型,采用神经网络的学习方法,对露天边坡进行稳定性评价。计算结果表明:边坡实际状态和预测结果十分相近,因此运用神经网络模型评价黄土地区边坡的稳定性有较好的适用性,该方法对露天边坡稳定性预测预报具有重要的理论意义和实用价值.

In view of the indeterminate and incomplete parameters in open-pit slope stability analysis and the limitations of accurate analytic method in expressing the nonlinear relation of every composition in slope system,based on neural network, the mathematical model is set up.With the study on the algorithm of neural network, the model can appraise the slope stability. The result shows that the real state of slope is similar to the forecast result. So it has good practicability that the neural network is used to appraise the open-pit slope stability. The study and application of this method has a great theoretical and practical value for open-pit slope stability analysis.