Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys
dc.contributor.author | Zafar, Muhammad Hamza | |
dc.contributor.author | Younis, Hassaan Bin | |
dc.contributor.author | Mansoor, Majad | |
dc.contributor.author | Moosavi, Syed Kumayl Raza | |
dc.contributor.author | Khan, Noman Mujeeb | |
dc.contributor.author | Akhtar, Naureen | |
dc.date.accessioned | 2022-11-09T14:14:10Z | |
dc.date.available | 2022-11-09T14:14:10Z | |
dc.date.created | 2022-10-07T12:13:47Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Zafar, M. H., Younis, H. B., Mansoor, M., Moosavi, S. K. R., Khan, N. M., & Akhtar, N. (2022). Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys. Materials, 15 (18), 1-18. doi: | en_US |
dc.identifier.issn | 1996-1944 | |
dc.identifier.uri | https://hdl.handle.net/11250/3030988 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2022 Author(s) | en_US |
dc.subject.nsi | VDP::Teknologi: 500 | en_US |
dc.source.pagenumber | 18 | en_US |
dc.source.volume | 15 | en_US |
dc.source.journal | Materials | en_US |
dc.source.issue | 18 | en_US |
dc.identifier.doi | 10.3390/ma15186198 | |
dc.identifier.cristin | 2059538 | |
cristin.qualitycode | 1 |