Research on prediction model of slope stability and realization of R language based on SVM
XIAO Min
WANG Xiaotian
HAN lupeng
Abstract：After considering the 11 factors of influencing the slope stability, the company introduces support vector machine theory by counting the number of misjudgment samples, and establishes the optimal model. By using R language, the company realizes the stratified random sampling technology, and guarantees the randomness and diversity of training set and test set. The research shows that the prediction model of slope stability based on SVM theory has strong reliability and high prediction accuracy.
Keywords：slope stabilityprediction modelsupport vector machineR languagestratified random sample
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 38-42 )