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

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

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...

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Bibliographic Details
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/ http://umpir.ump.edu.my/id/eprint/13999/1/fkasa-2011-muhammad-Improved%20Water%20Level%20Forecasting%20Performance.pdf

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