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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| 格式: | Final Year Project |
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2016
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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. |
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Asia |
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Malaysia |
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Universiti Teknologi Petronas |
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http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
TA Engineering (General). Civil engineering (General) |
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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 |