Tension estimation by fuzzy predictors in heavy facilities
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{Platos:2011:HIS,
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author = "Jan Platos and Vaclav Snasel and Pavel Kromer and
Petr Fiala",
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title = "Tension estimation by fuzzy predictors in heavy
facilities",
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booktitle = "11th International Conference on Hybrid Intelligent
Systems (HIS 2011)",
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year = "2011",
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month = "5-8 " # dec,
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pages = "546--550",
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address = "Melacca",
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size = "5 pages",
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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.",
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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",
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DOI = "doi:10.1109/HIS.2011.6122163",
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notes = "Also known as \cite{6122163}",
- }
Genetic Programming entries for
Jan Platos
Vaclav Snasel
Pavel Kromer
Petr Fiala
Citations