Tension estimation by fuzzy predictors in heavy facilities

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jan Platos and Vaclav Snasel and Pavel Kromer and 
                 Petr Fiala",
  title =        "Tension estimation by fuzzy predictors in heavy
  booktitle =    "11th International Conference on Hybrid Intelligent
                 Systems (HIS 2011)",
  year =         "2011",
  month =        "5-8 " # dec,
  pages =        "546--550",
  address =      "Melacca",
  size =         "5 pages",
  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 algorithms, genetic programming, finite
                 element method, fuzzy predictors, heavy facilities,
                 power plant generator, tension estimation, AC
                 generators, estimation theory, fuzzy set theory, power
  DOI =          "doi:10.1109/HIS.2011.6122163",
  notes =        "Also known as \cite{6122163}",

Genetic Programming entries for Jan Platos Vaclav Snasel Pavel Kromer Petr Fiala