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:	2005
Subjects:	TC Hydraulic engineering Ocean engineering
Online Access:	http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf
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id	my-unimas-ir.3164
record_format	uketd_dc
spelling	my-unimas-ir.31642023-07-05T01:23:21Z Water level prediction for rivers under tidal influence using artificial neural network 2005 Rosmina, Binti Ahmad Bustami TC Hydraulic engineering. Ocean engineering 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 study. Universiti Malaysia Sarawak, UNIMAS 2005 Thesis http://ir.unimas.my/id/eprint/3164/ http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	TC Hydraulic engineering Ocean engineering
spellingShingle	TC Hydraulic engineering Ocean engineering Rosmina, Binti Ahmad Bustami Water level prediction for rivers under tidal influence using artificial neural network
description	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 study.
format	Thesis
qualification_level	Master's degree
author	Rosmina, Binti Ahmad Bustami
author_facet	Rosmina, Binti Ahmad Bustami
author_sort	Rosmina, Binti Ahmad Bustami
title	Water level prediction for rivers under tidal influence using artificial neural network
title_short	Water level prediction for rivers under tidal influence using artificial neural network
title_full	Water level prediction for rivers under tidal influence using artificial neural network
title_fullStr	Water level prediction for rivers under tidal influence using artificial neural network
title_full_unstemmed	Water level prediction for rivers under tidal influence using artificial neural network
title_sort	water level prediction for rivers under tidal influence using artificial neural network
granting_institution	Universiti Malaysia Sarawak (UNIMAS)
granting_department	Faculty of Engineering
publishDate	2005
url	http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf
_version_	1783727917210009600

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

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