Neuro-fuzzy networks based on Simpson’s Min-Max model are a very important and active research topic. In the present paper an incremental approach for hybrid data is discussed, with the aim of obtaining a better classification when data in the input space are completely or partially discrete. Experiments show promising results.
Incremental Min Max Network - Part 2: Continuous and Discrete Spaces / FRATTALE MASCIOLI, Fabio Massimo; Biancavilla, M; Rizzi, Antonello. - STAMPA. - (1998), pp. 340-346. [10.1007/978-1-4471-0811-5_38].
Incremental Min Max Network - Part 2: Continuous and Discrete Spaces
FRATTALE MASCIOLI, Fabio Massimo;RIZZI, Antonello
1998
Abstract
Neuro-fuzzy networks based on Simpson’s Min-Max model are a very important and active research topic. In the present paper an incremental approach for hybrid data is discussed, with the aim of obtaining a better classification when data in the input space are completely or partially discrete. Experiments show promising results.File allegati a questo prodotto
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