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

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.