A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms.
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| Title: | A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms. |
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| Authors: | Parsa, Payam1, Naderpour, Hosein1,2, hosein.naderpour@torontomu.ca, Ezami, Nima3,4 |
| Source: | Neural Computing & Applications; May2024, Vol. 36 Issue 15, p8727-8756, 30p |
| 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: 176627571 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Parsa%2C+Payam%22">Parsa, Payam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Naderpour%2C+Hosein%22">Naderpour, Hosein</searchLink><relatesTo>1,2</relatesTo>, <i>hosein.naderpour@torontomu.ca</i><br /><searchLink fieldCode="AU" term="%22Ezami%2C+Nima%22">Ezami, Nima</searchLink><relatesTo>3,4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; May2024, Vol. 36 Issue 15, p8727-8756, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176627571 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-024-09514-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 8727 Titles: – TitleFull: A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Parsa, Payam – PersonEntity: Name: NameFull: Naderpour, Hosein – PersonEntity: Name: NameFull: Ezami, Nima IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 36 – Type: issue Value: 15 Titles: – TitleFull: Neural Computing & Applications Type: main |
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