Water level prediction for rivers under tidal influence using artificial neural network

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Water level prediction for rivers under tidal influence using artificial neural network

In this study, Artificial Neural Networks (ANN)s were developed to forecast water level for the next hour and the next 3,6 or 12 hours. The inputs consisted only of the rainfall, predicted tide level and previous water level. Backpropagation (BP) and recurrent (REC) network were selected for this st...

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Bibliographic Details
Main Author:	Rosmina, Binti Ahmad Bustami
Format:	Thesis
Language:	English
Published:	Universiti Malaysia Sarawak, UNIMAS 2005
Subjects:	TC Hydraulic engineering. Ocean engineering
Online Access:	http://ir.unimas.my/id/eprint/3164/ http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf

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