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Title: Runoff forecasting using fuzzy support vector regression
Authors: Sopon Wiriyarattanakul
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
Keywords: Computer Science
Social Sciences
Issue Date: 1-Dec-2008
Abstract: The Runoff forecasting is an important factor in river basin management. In this paper, we use fuzzy support vector machine regression (FSVMR) to predict the Runoff of Yom River at Sukhothai province, Thailand. The results show that the FSVMR is a suitable method in forecasting Runoff.
Appears in Collections:CMUL: Journal Articles

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