基于最小二乘支持向量机的水库来水量预测模型  

Forecasting Model of Reservoir Inflow Based on LS-SVM Method

作　　者：王聪聪[1] 董增川[1] 张伟[2] 胡晓雨[1] 

机构地区：[1]河海大学水文水资源学院,江苏南京210098 [2]河海大学水利水电学院,江苏南京210098

出　　处：《水电能源科学》2012年第5期29-30,共2页Water Resources and Power

摘　　要：为提高水库来水量的预测精度,提出了一种基于最小二乘支持向量机(LS-SVM)的来水量预测模型。实例应用结果表明,该模型预测能力强、预测精度高,其预测精度明显高于BP模型,为来水量预测提供了一种可靠、有效的方法。In order to improve forecasting accuracy of reservoir inflow,this paper puts forward a forecasting model based on least square support vector machine（LS-SVM）.Example results show that the proposed model has strong prediction ability and high prediction accuracy;its prediction accuracy is obviously higher than BP model.Thus,it provides a reliable and effective method for forecasting reservoir inflow.

关 键 词：来水量 最小二乘支持向量机 BP模型 预测 

分 类 号：TV121[水利工程—水文学及水资源] P338[天文地球—水文科学]