• DocumentCode
    3645155
  • Title

    Tension estimation by fuzzy predictors in heavy facilities

  • Author

    Jan Platoš;Václav Snášel;Pavel Krömer;Petr Fiala

  • Author_Institution
    Department of Computer Science, FEECS, VŠ
  • fYear
    2011
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    We use genetic programming to evolve accurate predictors (fuzzy rules) that are deployed to estimate the tension in a power plant generator. The meta-heuristic is compared to the finite element method that was used to compute estimated tension. In contrast to the finite element method, the fuzzy predictor (once found) approximates the tension in the facility quickly and with sufficient precision.
  • Keywords
    "Genetic programming","Generators","Finite element methods","Indexes","Biological cells","Genetic algorithms","Fuzzy sets"
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
  • Print_ISBN
    978-1-4577-2151-9
  • Type

    conf

  • DOI
    10.1109/HIS.2011.6122163
  • Filename
    6122163
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3645155