基于小波分析的支持向量机径流预测模型及应用

针对径流年内、年际变化幅度大、单一方法难以预测的特点,提出基于小波分析的支持向量机径流预测模型。该模型从时频分析角度出发,把月径流序列分解成不同的频率成分,分别采用支持向量机进行预测。以淮河支流沙河上游某水库月径流预测为研究实例,得出了较满意的预测结果。通过与其它方法预测结果的对比分析,验证了模型的有效性,为径流预测提供了一条新途径。

Runoff Prediction Model and Its Application Based on Wavelet Analysis and Support Vector Machine

In allusion to these features that runoff interannual variations is very large and runoff is predicted difficultly using single method,this article presents runoff prediction model based on wavelet analysis and Support Vector Machine(SVM).From the perspective of time-frequency analysis,runoff series can be decomposed into different frequency components,so runoff prediction model uses SVM to predict the frequency components respectively.This model is used to forecast monthly runoff of a reservoir which is in...