Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms

Khosravi, Khabat, Safari, Mir Jafar Sadegh ORCID: 0000-0003-0559-5261 and Cooper, James R ORCID: 0000-0003-4957-2774 (2021) Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms. Ocean Engineering, 238. 109721 - 109721.

Text Bed Scour depth prediction-author copy.pdf - Submitted version Download (2MB) | Preview

Item Type:	Article
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	08 Sep 2021 08:52
Last Modified:	18 Jan 2023 21:29
DOI:	10.1016/j.oceaneng.2021.109721
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3136209

Available Versions of this Item

• Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms. (deposited 08 Sep 2021 08:52) [Currently Displayed]
  • Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms. (deposited 08 Sep 2021 09:06)