View in EDS HTML Full Text PDF Full Text

Performance Analysis of Artificial Neural Network and Its Optimized Models on Compressive Strength Prediction of Recycled Cement Mortar.

Saved in:
Bibliographic Details
Title: Performance Analysis of Artificial Neural Network and Its Optimized Models on Compressive Strength Prediction of Recycled Cement Mortar.
Authors: Li LB; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China., Yin GJ; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China., Shao JJ; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China., Miao L; College of Art and Design, Nanjing Forestry University, Nanjing 210037, China., Lang YJ; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China., Zhu JJ; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China., Cheng SS; School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK.
Source: Materials (Basel, Switzerland) [Materials (Basel)] 2025 Dec 18; Vol. 18 (24). Date of Electronic Publication: 2025 Dec 18.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101555929 Publication Model: Electronic Cited Medium: Print ISSN: 1996-1944 (Print) Linking ISSN: 19961944 NLM ISO Abbreviation: Materials (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41470465
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Performance Analysis of Artificial Neural Network and Its Optimized Models on Compressive Strength Prediction of Recycled Cement Mortar.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Li+LB%22">Li LB</searchLink>; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China.<br /><searchLink fieldCode="AU" term="%22Yin+GJ%22">Yin GJ</searchLink>; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China.<br /><searchLink fieldCode="AU" term="%22Shao+JJ%22">Shao JJ</searchLink>; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China.<br /><searchLink fieldCode="AU" term="%22Miao+L%22">Miao L</searchLink>; College of Art and Design, Nanjing Forestry University, Nanjing 210037, China.<br /><searchLink fieldCode="AU" term="%22Lang+YJ%22">Lang YJ</searchLink>; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China.<br /><searchLink fieldCode="AU" term="%22Zhu+JJ%22">Zhu JJ</searchLink>; Department of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China.<br /><searchLink fieldCode="AU" term="%22Cheng+SS%22">Cheng SS</searchLink>; School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101555929%22">Materials (Basel, Switzerland)</searchLink> [Materials (Basel)] 2025 Dec 18; Vol. 18 (24). <i>Date of Electronic Publication: </i>2025 Dec 18.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101555929 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1996-1944 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219961944%22">19961944 </searchLink><i>NLM ISO Abbreviation: </i>Materials (Basel) <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41470465
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/ma18245694
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Performance Analysis of Artificial Neural Network and Its Optimized Models on Compressive Strength Prediction of Recycled Cement Mortar.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li LB
      – PersonEntity:
          Name:
            NameFull: Yin GJ
      – PersonEntity:
          Name:
            NameFull: Shao JJ
      – PersonEntity:
          Name:
            NameFull: Miao L
      – PersonEntity:
          Name:
            NameFull: Lang YJ
      – PersonEntity:
          Name:
            NameFull: Zhu JJ
      – PersonEntity:
          Name:
            NameFull: Cheng SS
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 12
              Text: 2025 Dec 18
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1996-1944
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 24
          Titles:
            – TitleFull: Materials (Basel, Switzerland)
              Type: main
ResultId 1