M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey

作     者：Sattari, M. Taghi Pal, Mahesh Apaydin, Halit Ozturk, Fazli 

作者机构：Tabriz Univ Fac Agr Dept Water Engn Tabriz Iran Natl Inst Technol Dept Civil Engn Kurukshetra 36119 Haryana India Ankara Univ Dept Farm Struct & Irrigat Fac Agr TR-06110 Ankara Turkey 

出 版 物：《WATER RESOURCES》 (水资源)

年 卷 期：2013年第40卷第3期

页      面：233-242页

核心收录：

学科分类：08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程] 

主　　题：M5 model tree support vector machine Daily river flow Sohu Turkey 

摘      要：This study investigate the potential of M5 model tree in predicting daily stream flows in Sohu river located within the municipal borders of Ankara, Turkey. The results of the M5 model tree was compared with support vector machines. Both modelling approaches were used to forecast up to 7-day ahead stream flow. A comparison of correlation coefficient and root mean square value indicates that M5 model tree approach works equally well to the SVM for same day discharge prediction. The M5 model tree also works well up to 7-day ahead discharge forecasting in comparison of SVM with this data set. An advantage of using M5 model tree approach is the availability of simple linear models to predict the discharge as well use of less computational time.