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- W2163803099 abstract "In this contribution, we present GP-COACH, a novel GFS based on the cooperative-competitive learning approach, that uses genetic programming to code fuzzy rules with a different number of variables, for getting compact and accurate rule bases for high dimensional problems. GP-COACH learns disjunctive normal form rules (generated by means of a context-free grammar) and uses a token competition mechanism to maintain the diversity of the population. It makes the rules compete and cooperate among themselves, giving out a compact set of fuzzy rules that presents a good performance. The good results obtained in an experimental study involving several high dimensional classification problems support our proposal." @default.
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- W2163803099 date "2008-03-01" @default.
- W2163803099 modified "2023-09-25" @default.
- W2163803099 title "A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems" @default.
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- W2163803099 doi "https://doi.org/10.1109/gefs.2008.4484575" @default.
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