Research on Application Evaluation of Support Vector Machine Prediction Model in Slope Engineering
Support vector machine is a two-class classification model based on hyperplane segmentation algorithm,because of its good supervised learning effect,it is widely used in engineering prediction.This paper in connection with many uncertainties in slope engineering,proposes support vector machine prediction method based on slope sample collection.At the same time,based on the slope samples in the reference,the model is used to predict the slope stability,and then based on the stability analysis results in the reference,the prediction results of the support vector machine model are evaluated,it fully verifies the reliability of the model prediction results.The results show that the established support vector machine model has a high degree consistency with the reference in slope stability analysis,support vector machine model predicts good results,and it provides a new idea for highway slope stability prediction.
Support vector machine Highway slope Stability prediction Limit equilibrium method
Wang Zhen Li Ang
School of Architectural Engineering,Huanghe Science and Technology College,Zhengzhou Henan 450063,China
国际会议
大连
英文
16-20
2019-03-29（万方平台首次上网日期，不代表论文的发表时间）