Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms

We describe in this paper a comparative study between fuzzy inference systems as methods of integration in modular neural networks for multimodal biometry. These methods of integration are based on techniques of type-1 fuzzy logic and type-2 fuzzy logic. Also, the fuzzy systems are optimized with si...

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Veröffentlicht in:	Information sciences Jg. 179; H. 13; S. 2123 - 2145
Hauptverfasser:	Hidalgo, Denisse, Castillo, Oscar, Melin, Patricia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 13.06.2009
Schlagworte:	Hybrid intelligent systems Neural networks Pattern recognition Type-2 fuzzy logic Pattern recognition Neural networks Type-2 fuzzy logic Hybrid intelligent systems
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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