Water level forecasting model using improved artificial neural network architecture

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Water level forecasting model using improved artificial neural network architecture

Reliable water level forecasting can help achieve efficient and optimum use of water resources and minimize flooding damage. Currently, artificial neural network (ANN) has been successfully tested in many forecasting studies, including river flow. However, the accuracy and reliability of the river f...

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Bibliographic Details
Main Author:	Muhammad @ S. A. Khushren, Sulaiman
Format:	Thesis
Language:	English
Published:	2012
Subjects:	GB Physical geography
Online Access:	http://umpir.ump.edu.my/id/eprint/13483/ http://umpir.ump.edu.my/id/eprint/13483/1/MUHAMMAD%20%40%20S%20A%20KHUSHREN%20SULAIMAN.pdf

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