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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Novel Genetic Programming Based Approach for Classification Problems
verfasst von : L. P. Cordella, C. De Stefano, F. Fontanella, A. Marcelli
Erschienen in: Image Analysis and Processing – ICIAP 2005
Verlag: Springer Berlin Heidelberg
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A new genetic programming based approach to classification problems is proposed. Differently from other approaches, the number of prototypes in the classifier is not a priori fixed, but automatically found by the system. In fact, in many problems a single class may contain a variable number of subclasses. Hence, a single prototype, may be inadequate to represent all the members of the class. The devised approach has been tested on several problems and the results compared with those obtained by a different genetic programming based approach recently proposed in the literature.