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River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment

This study proposes the application of Artificial Neural Network (ANN) in the prediction of hourly water level under tidal influence for Sadong Basin. An ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction.

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Bibliographic Details
Main Author: Bustami, R.
Format: E-Article
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2011
Subjects:
GE Environmental Sciences
TD Environmental technology. Sanitary engineering
Online Access:http://ir.unimas.my/id/eprint/3119/1/River%20Bedup%20catchment%20water%20level%20prediction%20using%20pre-developed%20ANN%20Model%20of%20Siniawan%20catchment.pdf
http://ir.unimas.my/id/eprint/3119/
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id my.unimas.ir.3119
record_format eprints
spelling my.unimas.ir.31192015-03-23T08:02:39Z http://ir.unimas.my/id/eprint/3119/ River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment Bustami, R. GE Environmental Sciences TD Environmental technology. Sanitary engineering This study proposes the application of Artificial Neural Network (ANN) in the prediction of hourly water level under tidal influence for Sadong Basin. An ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction. Universiti Malaysia Sarawak, (UNIMAS) 2011 E-Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/3119/1/River%20Bedup%20catchment%20water%20level%20prediction%20using%20pre-developed%20ANN%20Model%20of%20Siniawan%20catchment.pdf Bustami, R. (2011) River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment. UNIMAS E-Journal of Civil Engineering, 2 (1).
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 GE Environmental Sciences
TD Environmental technology. Sanitary engineering
spellingShingle GE Environmental Sciences
TD Environmental technology. Sanitary engineering
Bustami, R.
River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
description This study proposes the application of Artificial Neural Network (ANN) in the prediction of hourly water level under tidal influence for Sadong Basin. An ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction.
format E-Article
author Bustami, R.
author_facet Bustami, R.
author_sort Bustami, R.
title River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
title_short River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
title_full River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
title_fullStr River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
title_full_unstemmed River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
title_sort river bedup catchment water level prediction using pre-developed ann model of siniawan catchment
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2011
url http://ir.unimas.my/id/eprint/3119/1/River%20Bedup%20catchment%20water%20level%20prediction%20using%20pre-developed%20ANN%20Model%20of%20Siniawan%20catchment.pdf
http://ir.unimas.my/id/eprint/3119/
_version_ 1644509264241229824
score 13.209306

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