數據挖掘在巖質邊坡穩定性預測中的應用

Application of Data Mining to Predicting the Stability of Rock Slope

摘要: 提出了一種預測巖土邊坡穩定性的方法.利用數據挖掘的方法從邊坡實例數據中挖掘出知識,在此基礎上建立巖質邊坡穩定性預測的智能模型系統.該系統可以根據獲得的現場測試和監測資料,對邊坡的穩定性進行較好的預測和估計.

Abstract: A method was proposed for assessing the stability of rock slope, of which the knowledge about the stability of rock slopes is extracted from data cases of rock slopes and the integrated intelligent system is built for assessment. The system can be used to predict and assess the stability of any rock slope with the information measured from the rock slope.