• DocumentCode
    3669265
  • Title

    Modeling and optimizing tensile strength and yield point on steel bar by artificial neural network with evolutionary algorithm

  • Author

    Chun-Kai Cheng;Jinn-Tsong Tsai;Tsu-Tian Lee;Jyh-Horng Chou;Kao-Shing Hwang

  • Author_Institution
    Institute of Electrical Engineering, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchao, Kaohsiung 824, Taiwan
  • fYear
    2015
  • Firstpage
    1562
  • Lastpage
    1563
  • Abstract
    The artificial neural network (ANN) with Taguchi-genetic evolutionary algorithm (TGEA) is combined to construct the steel bar model and optimize the factors of steel bar. The TGEA in the ANN is to find the most suitable weight of neuron combination and the optimal combination of influencing factors. In the experiment, the steel bar model is constructed by the TGEA-based ANN, and the TGEA is utilized to optimize all process parameters.
  • Keywords
    "Steel","Artificial neural networks","Bars","Chemicals","Training","Roads","Carbon"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294323
  • Filename
    7294323
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3669265