Title :
Runoff forecasting using fuzzy support vector regression
Author :
Wiriyarattanakul, Sopon ; Auephanwiriyakul, Sansanee ; Theera-Umpon, Nipon
Author_Institution :
Dept. of Comput. Eng., Chiang Mai Univ., Chiang Mai
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.
Keywords :
forecasting theory; fuzzy set theory; hydrological techniques; rivers; support vector machines; Yom River; fuzzy support vector regression; river basin management; runoff forecasting; Communication systems; Floods; Intelligent structures; Load forecasting; Neural networks; Rivers; Signal processing; Support vector machines; Training data; Wind forecasting;
Conference_Titel :
Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2564-8
Electronic_ISBN :
978-1-4244-2565-5
DOI :
10.1109/ISPACS.2009.4806713
