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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/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf
http://ir.unimas.my/id/eprint/3164/
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record_format eprints
spelling my.unimas.ir.31642023-07-05T01:23:21Z http://ir.unimas.my/id/eprint/3164/ Water level prediction for rivers under tidal influence using artificial neural network 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf Rosmina, Binti Ahmad Bustami (2005) Water level prediction for rivers under tidal influence using artificial neural network. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
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
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
publisher Universiti Malaysia Sarawak, UNIMAS
publishDate 2005
url http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf
http://ir.unimas.my/id/eprint/3164/
_version_ 1770555376559718400
score 13.18916

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