View in EDS

Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.

Saved in:
Bibliographic Details
Title: Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.
Authors: Garzón-Roca, Julio1, Adam, Jose M.1 joadmar@upv.es, Sandoval, Cristian2, Roca, Pere3
Source: Computers & Structures. Sep2013, Vol. 125, p145-152. 8p.
Subjects: Masonry, Brick walls, Cement, Clay, Artificial neural networks, Estimation theory, Data analysis
Abstract: Highlights: [•] Masonry walls made of cement mortar and clay bricks are investigated. [•] Artificial Neural Networks are used. [•] The network is trained with around 1950 data items. [•] An estimation for the bearing capacity of brick masonry is obtained. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Structures is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 89896777
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Garzón-Roca%2C+Julio%22">Garzón-Roca, Julio</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Adam%2C+Jose+M%2E%22">Adam, Jose M.</searchLink><relatesTo>1</relatesTo><i> joadmar@upv.es</i><br /><searchLink fieldCode="AR" term="%22Sandoval%2C+Cristian%22">Sandoval, Cristian</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Roca%2C+Pere%22">Roca, Pere</searchLink><relatesTo>3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Structures%22">Computers & Structures</searchLink>. Sep2013, Vol. 125, p145-152. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Masonry%22">Masonry</searchLink><br /><searchLink fieldCode="DE" term="%22Brick+walls%22">Brick walls</searchLink><br /><searchLink fieldCode="DE" term="%22Cement%22">Cement</searchLink><br /><searchLink fieldCode="DE" term="%22Clay%22">Clay</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: [•] Masonry walls made of cement mortar and clay bricks are investigated. [•] Artificial Neural Networks are used. [•] The network is trained with around 1950 data items. [•] An estimation for the bearing capacity of brick masonry is obtained. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers & Structures is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=89896777
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.compstruc.2013.05.006
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 145
    Subjects:
      – SubjectFull: Masonry
        Type: general
      – SubjectFull: Brick walls
        Type: general
      – SubjectFull: Cement
        Type: general
      – SubjectFull: Clay
        Type: general
      – SubjectFull: Artificial neural networks
        Type: general
      – SubjectFull: Estimation theory
        Type: general
      – SubjectFull: Data analysis
        Type: general
    Titles:
      – TitleFull: Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Garzón-Roca, Julio
      – PersonEntity:
          Name:
            NameFull: Adam, Jose M.
      – PersonEntity:
          Name:
            NameFull: Sandoval, Cristian
      – PersonEntity:
          Name:
            NameFull: Roca, Pere
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2013
              Type: published
              Y: 2013
          Identifiers:
            – Type: issn-print
              Value: 00457949
          Numbering:
            – Type: volume
              Value: 125
          Titles:
            – TitleFull: Computers & Structures
              Type: main
ResultId 1