水利水电技术2012，Vol.43Issue(2)：86-89,4.
贝安全监测的鲁棒最小二乘支持向量机模型
Robust least square support vector machine based model for dam safety monitoring
摘要
Abstract
So far as the support vector machine based model frequently applied to the modeling of dam monitoring at present is concerned, a comparative analysis is made on the fitting precision and prediction accuracy of the least square support vector machine based monitoring model under the both the conditions with or without abnormal values in the monitoring data by taking the settlement monitoring on a earth dam as an actual study case, and then, it is found that the impact from the abnormal values cannot be ignored. Therefore, through the improvement of the loss function of the support vector machine based model, the robust least square support vector machine based model ( RLS - SVM) for dam safety monitoring is established. The analysis on actual case shows that better fitting precision and prediction effect can be obtained from the model ( RLS - SVM ) , no matter whether abnormal values are there in the monitoring data or not Thus, the precision of RLS - SVM model is higher than that of LS - SVM model.关键词
大坝安全监测/鲁棒最小二乘支持向量机/最小二乘支持向量机/异常值Key words
dam safety monitoring/robust least square support vector machine/least square support vector machine/abnormal value分类
建筑与水利引用本文复制引用
蒋国芸,郄志红,王东君,张俊杰..贝安全监测的鲁棒最小二乘支持向量机模型[J].水利水电技术,2012,43(2):86-89,4.基金项目
河北省科学技术研究与发展计划(编号:05240703D). （编号:05240703D）
