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Suche nach „[R.] [Kern]“ hat 3 Publikationen gefunden
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    Angewandte WirtschaftswissenschaftenMaschinenbau und Mechatronik

    Zeitschriftenartikel

    M. Bauer, O. Buchtala, T. Horeis, R. Kern, Bernhard Sick, et al.

    Technical Data Mining with Evolutionary Radial Basis Function Classiers

    Applied Soft Computing, vol. 9, no. 2, pp. 765-774

    2009

    Abstract anzeigen

    This article deals with two key problems of data mining, the automation of the data mining process and the integration of human domain experts. We show how an evolutionary algorithm (EA) can be used to optimize radial basis function (RBF) neural networks used for classification tasks. First, input features will be chosen from a set of possible input features (feature selection). Second, the number of hidden neurons is adapted (model selection). It is known that interpretable (fuzzy-type) rule sets may be extracted from RBF networks. We show how appropriate training algorithms for RBF networks and penalty terms in the fitness function of the EA may improve the understandability of the extracted rules. The properties of our approach are set out by means of two industrial application examples (process identification and quality control).

    Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    M. Bauer, O. Buchtala, T. Horeis, R. Kern, Bernhard Sick, et al.

    Process Identification and Quality Control with Evolutionary Optimized RBF Classiers

    Proceedings of the IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05); Espoo, Finnland; 28.-30.06.2005

    2005

    Elektrotechnik und MedientechnikMaschinenbau und Mechatronik

    Vortrag

    M. Bauer, O. Buchtala, T. Horeis, R. Kern, Bernhard Sick, et al.

    Process Identification and Quality Control with Evolutionary Optimized RBF Classiers

    IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05), Espoo, Finnland

    2005