• DocumentCode
    2496950
  • Title

    Automated stopping criteria for neural network training

  • Author

    Natarajan, Siva ; Rhinehart, R. Russell

  • Author_Institution
    Dept. of Chem. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    2409
  • Abstract
    A novel technique for improving neural network (NN) training is developed and demonstrated. This technique makes more efficient use of the available data for training and also automates the decision criteria to stop training
  • Keywords
    learning (artificial intelligence); neural nets; automated stopping criteria; neural network training; Automatic control; Chemical engineering; Costs; Fault diagnosis; Feedforward neural networks; Least squares methods; Neural networks; Process control; Recurrent neural networks; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.609154
  • Filename
    609154
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2496950