The potential of nonparametric model in foundation bearing capacity prediction.
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| Title: | The potential of nonparametric model in foundation bearing capacity prediction. |
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| Authors: | Jabbar, Saadya Fahad1, saadya.fahad@ircoedu.uobaghdad.edu.iq, Hamed, Raed Ibraheem2, raed.alfalahy@uhd.edu.iq, Alwan, Asmaa Hussein1, asmaa.hussein@ircoedu.uobaghdad.edu.iq |
| Source: | Neural Computing & Applications; Nov2018, Vol. 30 Issue 10, p3235-3241, 7p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 132879655 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=aci&AN=132879655 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-017-2916-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 3235 Titles: – TitleFull: The potential of nonparametric model in foundation bearing capacity prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jabbar, Saadya Fahad – PersonEntity: Name: NameFull: Hamed, Raed Ibraheem – PersonEntity: Name: NameFull: Alwan, Asmaa Hussein IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 11 Text: Nov2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 30 – Type: issue Value: 10 Titles: – TitleFull: Neural Computing & Applications Type: main |
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