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Model inversion using fuzzy neural network with boosting of the solution

Research output: Journal contributions › Journal articles › Research › peer-review

Authors

Neural networks are a very effective and popular tool for modeling. The inversion of a neural network makes possible the use of these networks in control problem schemes. This paper presents an inversion strategy based upon a feed-forward trained local linear model tree. The local linear model tree is realized through a fuzzy neural network. AMS Subject Classification: 92B20, 03B52, 90B15
Original languageEnglish
JournalInternational Journal of Pure and Applied Mathematics
Volume80
Issue number2
Pages (from-to)261-270
Number of pages10
ISSN1311-8080
Publication statusPublished - 2012

    Research areas

  • Engineering - Fuzzy logic, Networks model, Neural networks

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