Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods.
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| Title: | Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods. |
|---|---|
| Authors: | Varol Özkavak, Hatice1 (AUTHOR) haticevarol@isparta.edu.tr, İnce, Murat2 (AUTHOR), Bıçaklı, Ezgi Eylem3 (AUTHOR) |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Mar2023, Vol. 48 Issue 3, p2841-2850. 10p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 162032549 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162032549 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13369-022-07009-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 2841 Titles: – TitleFull: Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Varol Özkavak, Hatice – PersonEntity: Name: NameFull: İnce, Murat – PersonEntity: Name: NameFull: Bıçaklı, Ezgi Eylem IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 48 – Type: issue Value: 3 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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