基于人工神经网络的边坡安全系数估算

Calculation of Slope Safety Factor Based on Artificial Neural Network

结合Kolmogrov定理建立了岩石边坡安全系数估算的神经网络BP模型,然后基于数学软件MATLAB针对该模型编写了一个小程序进行预测,从预测的结果来看,精度比较高、计算也比较快。因此,该预测模型足以满足岩土工程的需要。

Combining with Kolmogrov＇s law, an neural network model to calculate the safety factor of rock slope was established, a computing program for this model was written based on MATAB and was used to forecast the safety factor of some rock slope. From the forecasted result, the forecasting accuracy of this model is very high and the calculating speed of the computing program is quick. So, this method can satisfy the need of the rock and soil engineering.