关键词: 改进网格法, 参数寻优, 支持向量机, 边坡预测

Abstract: Aiming at the problem of low prediction accuracy for side slope displacement of the dam caused by the insufficient of parameters optimization of traditional support vector machine (SVM),this paper proposed an improved grid parameter optimization method,which required to conduct a coarse search first,followed by several times of fine search.Based on the improved grid parameter optimization method,we established a prediction model for side slope displacement of SVR dam,and applied it in the prediction of side slope displacement.The results showed that the prediction model,established based on the improved method for predicting side slope displacement of SVR dam,had better prediction accuracy than the prediction model basing on traditional SVM.

Key words: improved grid method, parameter optimization, support vector machine, prediction of side slope