TY  - JOUR
ID  - myais1566
UR  - http://ejum.fsktm.um.edu.my/annals/detail.asp?AID=344
IS  - 1
A1  - Rosmina Ahmad Bustami,  
A1  - Nabil Bessaih,  
A1  - Mohd Saufee Muhammad,  
Y1  - 2006///
N2  - A method for estimating water level at Sungai Bedup in Sarawak is presented here. The method makes use of Artificial Neural Network (ANN) ? a new tool that is capable of modeling various nonlinear hydrological processes. ANN was chosen based on its ability to generalize patterns in imprecise or noisy and ambiguous input and output data sets. In this study, the networks were developed to forecast daily water level for Sungai Bedup station. Specially designed networks were simulated using data obtained from Drainage and Irrigation Department with MATLAB 6.5 computer software. Various training parameters were considered to achieve the best result. ANN Recurrent Network using Backpropagation algorithm was adopted for this study.
JF  - Annals of Dentistry 
VL  - 1
KW  - Artificial Neural Network
KW  -  Water Level Prediction
KW  -  Flood Forecasting
SN  - 0128-7532
TI  - Artificial Neural Network for Daily Water Level Estimation
SP  - 7
AV  - none
EP  - 12
ER  -