TY  - BOOK
AU  - Chen,Ming-an
AU  - Huynh,Ngoc Phien
AU  - Do,Ba Khang
AU  - Gonzales,Jr,R.L.
ED  - R.O.C. Government, 
TI  - Forecasting of seasonal streamflows
T2  - Thesis
PY  - 1994///
CY  - Bangkok
PB  - Asian Institute of Technology
KW  - Regression analysis
KW  - Hydraulics
KW  - Data processing
N1  - A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology; Thesis (M.Eng.) - Asian Institute of Technology, 1994
N2  - In this study, the time series of monthly flows of the Mekong River and ten-day flows of  the Tachia River were used to build forecasting models by using multiple regression analysis, Box Jenkins method and back propagation method. All of the forecasting methods with lead time = 1  and 2 were implemented in this study. It was found that back propagation method can obtain the  best results during calibration period and Box-Jenkins models can get better results than multiple  regression method in most of the cases. For forecasting seasonal flows by back propagation  method, using one hidden layer network is enough to get quite satisfactory results. The forecasting  accuracy for lead time= 2 (time units) is a little worse than that for lead time= 1 as expected
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B15645
ER  -