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

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 A
960-8457-41-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/15601
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