Show simple item record

dc.contributor.authorBenzer, Semra
dc.contributor.authorGarabaghi, Farid Hassanbaki
dc.contributor.authorBenzer, Recep
dc.contributor.authorMehr, Homay Danaei
dc.date.accessioned2022-08-04T12:41:06Z
dc.date.available2022-08-04T12:41:06Z
dc.date.issued2021
dc.identifier.issn0165-7836en_US
dc.identifier.uri
dc.identifier.urihttp://hdl.handle.net/11727/7235
dc.description.abstractMarine and freshwater scientists use fish scales, vertebrae, otoliths and length-weights values to estimate fish age because reliable fish age estimation plays a very important role in fish stock management. The advances in technology and the widespread use of artificial intelligence have revealed the use of traditional observations and techniques in the fishing industry. The aim of this study was to evaluate the effectiveness of three disesteemed machine learning algorithms (NB, J48 DT, RF) in comparison with ANNs which has been widely used in such studies in the literature. In culmination, all three algorithms outperformed ANNs and can be considered as alternatives in case of coming across noisy and non-linear datasets. Moreover, among these three algorithms J48 DT and RF showed exceptional performance where the data for specific fish age groups weren't abundant.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1016/j.fishres.2021.106151en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAgeen_US
dc.subjectArtificial neural networksen_US
dc.subjectClassificationen_US
dc.subjectDecision tree algorithmsen_US
dc.subjectFishen_US
dc.subjectNaive Bayesen_US
dc.titleInvestigation of some machine learning algorithms in fish age classificationen_US
dc.typearticleen_US
dc.relation.journalFISHERIES RESEARCHen_US
dc.identifier.volume245en_US
dc.identifier.wos000709956500003en_US
dc.identifier.scopus2-s2.0-85117285346en_US
dc.contributor.orcID0000-0002-5339-0554en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.contributor.researcherIDA-5050-2014en_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record