Runoff Forecasting Using Fuzzy Support Vector Regression

被引：0
|
作者：
Wiriyarattanakul, Sopon [1 ]
Auephanwiriyakul, Sansanee [1 ]
Theera-Umpon, Nipon [2 ]
机构：
[1] Chiang Mai Univ, Fac Engn, Dept Comp Engn, Chiang Mai 50200, Thailand
[2] Chiang Mai Univ, Fac Engn, Dept Elect Engn, Chiang Mai 50200, Thailand
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008) | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页码：407 / +
页数：2
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