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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
【摘要】 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。
【Abstract】 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.
- 【文献出处】 有色金属(矿山部分) ,Nonferrous Metals(Mining Section) , 编辑部邮箱 ,2010年02期
- 【分类号】TU43
- 【被引频次】5
- 【下载频次】236