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Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel

Naturally, vegetated channel has been developed for attenuating the flow in the drainage system. This is considered important as it will work as one of the effective ways to prevent high outflow velocity that could cause flooding and overtop of water at the outflow. The attenuated flow are as the re...

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Main Author: Kamarudzaman, Nur Zahidah
Format: Final Year Project
Language:English
Published: IRC 2016
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://utpedia.utp.edu.my/17860/1/1.%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/17860/
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spelling my-utp-utpedia.178602018-08-01T09:59:00Z http://utpedia.utp.edu.my/17860/ Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel Kamarudzaman, Nur Zahidah TA Engineering (General). Civil engineering (General) Naturally, vegetated channel has been developed for attenuating the flow in the drainage system. This is considered important as it will work as one of the effective ways to prevent high outflow velocity that could cause flooding and overtop of water at the outflow. The attenuated flow are as the result of the flow-resistant that existed within the drainage system and is manually calculated using Manning’s Roughness Equation, where IRC 2016-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/17860/1/1.%20Final%20Dissertation.pdf Kamarudzaman, Nur Zahidah (2016) Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel. IRC, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Kamarudzaman, Nur Zahidah
Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
description Naturally, vegetated channel has been developed for attenuating the flow in the drainage system. This is considered important as it will work as one of the effective ways to prevent high outflow velocity that could cause flooding and overtop of water at the outflow. The attenuated flow are as the result of the flow-resistant that existed within the drainage system and is manually calculated using Manning’s Roughness Equation, where
format Final Year Project
author Kamarudzaman, Nur Zahidah
author_facet Kamarudzaman, Nur Zahidah
author_sort Kamarudzaman, Nur Zahidah
title Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
title_short Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
title_full Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
title_fullStr Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
title_full_unstemmed Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
title_sort prediction of flow resistance using artificial neural network (ann) in natural vegetated channel
publisher IRC
publishDate 2016
url http://utpedia.utp.edu.my/17860/1/1.%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/17860/
_version_ 1739832430213201920
score 13.252575

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