• DocumentCode
    3448653
  • Title

    Evaluation of fuzzy-nets training efficiency

  • Author

    Lin, Nan-hui ; Chen, Joseph C.

  • Author_Institution
    Dept. of Ind. & Manuf. Syst. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    1996
  • fDate
    11-14 Dec 1996
  • Firstpage
    236
  • Lastpage
    241
  • Abstract
    How can fuzzy-nets technology perform with greater accuracy and efficiency? The purpose of this paper is to identify the optimal factor-level combinations of a simulation model using the backing up of a truck. Taguchi Parameter Design with an L0 (34) orthogonal array was employed to diminish the number of treatment runs
  • Keywords
    digital simulation; fuzzy neural nets; learning (artificial intelligence); optimisation; performance evaluation; road vehicles; Taguchi Parameter Design; fuzzy neural network training efficiency; optimal factor-level combinations; orthogonal array; performance evaluation; simulation model; truck; Analysis of variance; Design for experiments; Educational technology; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Manufacturing industries; Modeling; Neural networks; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
  • Conference_Location
    Kenting
  • Print_ISBN
    0-7803-3687-9
  • Type

    conf

  • DOI
    10.1109/AFSS.1996.583597
  • Filename
    583597
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3448653