边坡稳定性人工神经网络预测研究

The Prediction Research of Slope Stability by Using Artificial Neural Network

边坡具有复杂的变形破坏机理和模式。目前,分析边坡变形破坏机理及评价其稳定性的一些精确分析方法由于应用起来存在随意性和不确定性,在很多情况下是不适宜的。因此,建立一种把人为影响减少到最低程度的、能融定量与定性指标于一体的边坡稳定性评价方法是非常必要的。利用人工神经网络(ANN)探索建立的这样一类模型,用于边坡稳定性评价可望建立接近人类思维模式的定量与定性指标相结合的综合评价模型。

Slopes have complicated deformation mechanism and different failure patterns. The slope stability problems have been studied by researchers for a long time. The randomness and uncertainty in applying those accurate analyzing methods seem inevitable. So it is necessary to build a slope stability analysis method that can reduce the influence of researchers themselves to some extent and can produce qualitative and quantitative stability indices. For this purpose ,this paper proposes a stability analysis method by means of artificial neural network （ANN）. The method gives the qualitative and quantitative stability indices in a way like human thought.