The aim of this paper is the proposition of a soft computing approach for solving patter recognition problems. In particular, starting from Shannon’s Fuzzy Entropy, we propose a mathematical model which extracts fuzzy inference with minimal entropy. The proposal approach has been applied to evaluate Synthetic A
A Minimal Fuzzy Entropy Model for Pattern Recognition: Evaluation in a SAR Imagery Application
BARRILE, Vincenzo;VERSACI M
2006-01-01
Abstract
The aim of this paper is the proposition of a soft computing approach for solving patter recognition problems. In particular, starting from Shannon’s Fuzzy Entropy, we propose a mathematical model which extracts fuzzy inference with minimal entropy. The proposal approach has been applied to evaluate Synthetic AFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
