Author(s)

Wang Zhen, Li Ang

Corresponding Author

Wang Zhen

ABSTRACT

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.

KEYWORDS

Support vector machine, Highway slope, Stability prediction, Limit equilibrium method