• DocumentCode
    1109690
  • Title

    Neural network model for the automated control of springback in rebars

  • Author

    Dunstan, P.S. ; Ranjithan, S.R. ; Bernold, Leonhard E.

  • Author_Institution
    Washington Univ., Seattle, WA, USA
  • Volume
    11
  • Issue
    4
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    Automating the process of cold-bending steel reinforcing bars for concrete structures can save time, prevent serious injuries, and increase productivity. Neural network models can play a key role in the adaptive control of this process
  • Keywords
    adaptive control; civil engineering computing; neurocontrollers; steel; adaptive control; cold-bending; concrete structures; neural network model; rebars; springback; steel reinforcing bars; Adaptive control; Automatic control; Biological materials; Intelligent networks; Machine learning; Multi-layer neural network; Neural networks; Programmable control; Torque; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.511776
  • Filename
    511776
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1109690