Artificial neural network applications for predicting drag coefficient in flexible vegetated channels
Previously numerous equations were developed using conventional methods to estimate vegetal drag coefficient by treating submerged and emergent vegetation independently, there is need to derive a generalized relationship that can be applied irrespective of the vegetation submergence with respect to...
| Main Authors: | Muhammad, M.M., Yusof, K.W., Ul Mustafa, M.R., Zakaria, N.A., Ghani, A.Ab. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21351 / |
| Published: |
Universiti Teknikal Malaysia Melaka
2018
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047430784&partnerID=40&md5=8dde3597b787a6959b40081da2f6b9e7 http://eprints.utp.edu.my/21351/ |
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