Tension estimation by fuzzy predictors in heavy facilities

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@InProceedings{Platos:2011:HIS,

• author = "Jan Platos and Vaclav Snasel and Pavel Kromer and Petr Fiala",
• title = "Tension estimation by fuzzy predictors in heavy facilities",
• 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 plants",
• 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

Citations