SUPPORT VECTOR MACHINE IN CHAOTIC HYDROLOGICAL

TIME SERIES FORECASTING

支持向量机混沌时间序列预测-This research attempts to demonstrate the promising applications of a relatively

new　machine　learning　tool,　support　vector　machine,　on　chaotic　hydrological　time

series forecasting. The ability to achieve high prediction accuracy of any model is one

of　the　central　problems　in　water　resources　management.　In　this　study,　the　high

effectiveness　and　efficiency　of　the　model　is　achieved　based　on　the　following　three

major contributions.