Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network

• Main Authors: Muhammad @ S A Khushren, Sulaiman, Ahmed, El-Shafie, Othman, Karim, Hassan, Basri
• Format: Article
• Language: English
• Published: Springer 2011
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/13999/1/fkasa-2011-muhammad-Improved%20Water%20Level%20Forecasting%20Performance.pdf; http://umpir.ump.edu.my/id/eprint/13999/; http://dx.doi.org/10.1007/s11269-011-9824-z

Developing water level forecasting models is essential in water resources management and flood prediction. Accurate water level forecasting helps achieve efficient and optimum use of water resources and minimize flooding damages. The artificial neural network (ANN) is a computing model that has been...