边坡稳定性预测的Fisher判别分析模型

Fisher's Discriminant Analysis Model for Forecasting Stability of Slope

将Fisher判别分析法应用于边坡稳定性预测问题中,建立了边坡稳定性预测的Fisher判别分析模型,选取岩石重度、粘聚力、内摩擦角、边坡角、边坡高度、孔隙水压力6项指标作为Fisher判别分析模型的判别因子,以边坡工程实测数据作为学习样本进行训练,建立相应的判别函数对待判样本进行分类。研究结果表明Fisher判别分析模型分类性能良好,预测精度高,回判估计的误判率很低,是边坡稳定性预测的一种有效方法,可以在实际工程中进行推广。

Based on discriminant analysis method mathematical theory, the Fisher discriminant analysis model for forecasting stability of slope is established in this paper, including six indexes reflecting the situation of slope stability： gravity of rock, cohesion, internal friction angle, slope angle, high slope and core-water pressure. Discriminant functions are obtained through training a large set of expansive samples. The results show that the forecasting model of Fisher discriminant analysis excellent performance, high prediction accuracy and can be used in practical engineering.