Elliptical Basis Function Networks for Classification Tasks
نویسندگان
چکیده
Joachim Feist , Ste en Gutjahr Neurotec Hochtechnologie GmbH Germany Email: [email protected] University of Karlsruhe Institute of Logic, Complexity and Deduction Systems Germany Email: [email protected] Abstract. In this paper we compare variants of elliptical basis function networks for classication tasks. The networks are introduced as density estimators and then modi ed towards RBF networks. Node reduction is accomplished by a genetic algorithm(GA). Two di erent kinds of node connections are compared. As a second degree of freedom di erent types of basis functions are investigated. On an arti cial test set of the time series domain the impact of dimensionality is considered.
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