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.
出处
《水电能源科学》
北大核心
2012年第5期29-30,共2页
Water Resources and Power