基于神经网络的黄土质边坡稳定性分析——以宝鸡峡引渭渠道左岸塬边高边坡为例

Stability analysis of loess slope bases on neural network

应用神经网络理论 ,建立了用于黄土质边坡稳定性分析的模型 ,并以宝鸡峡引渭渠道左岸高边坡为实例 ,对该方法的合理性和准确性进行了验证。结果表明 ,与传统计算方法相比 ,神经网络方法具有准确率高、自学习、自适应性强和容错率高等优点。

The model of Loess slope stability is established with application of neural network. The rationality and veracity are proved by practical example of loess slope stability in Baoji valley. Compared with other traditional methods, the neural network has high accuracy,self study,self adapt and high allowable error ability. The example indicates it.