View in EDS PDF Full Text

Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete.

Saved in:
Bibliographic Details
Title: Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete.
Authors: Abellán-García, Joaquín1
Source: ACI Materials Journal; Jul2021, Vol. 118 Issue 4, p3-14, 12p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151827831
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Abellán-García%2C+Joaquín%22">Abellán-García, Joaquín</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ACI+Materials+Journal%22">ACI Materials Journal</searchLink>; Jul2021, Vol. 118 Issue 4, p3-14, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151827831
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.14359/51732710
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 3
    Titles:
      – TitleFull: Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Abellán-García, Joaquín
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 0889325X
          Numbering:
            – Type: volume
              Value: 118
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: ACI Materials Journal
              Type: main
ResultId 1