Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and Its Optimization with Genetic Algorithms-Reference-Cited by-同舟云学术

Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and Its Optimization with Genetic Algorithms

Published: Issue: Volume: Page:89-114
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
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Author:

Hidalgo Denisse,Castillo Oscar,Melin Patricia

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-70812-4_6.pdf

Reference34 articles.

1. Algoritmos genéticos en la construcción de funciones de membresía difsa (February 2007), http://wotan.liu.edu/docis/dbl/iariia/2003_18_25_AGELCD.htm

2. Algoritmos Genéticos, http://eddyalfaro.galeon.com/geneticos.html

3. Alvarado-Verdugo, J.M.: Reconocimiento de la persona por medio de su rostro y huella utilizando redes neuronales modulares y la transformada wavelet, Instituto Tecnológico de Tijuana (2006)

4. Bronstein, M.: Biolynx, Biometría, National Geographic Instituto de Inves-tigación Tecnológica de Georgia (April 2007), http://www.tecnociencia.es/monografico/biometria/biometria.htm

5. Castro, J.R.: Tutorial Type-2 Fuzzy Logic: theory and applications, Univer-sidad Autónoma de Baja California-Instituto Tecnológico de Tijuana (October 9, 2006), http://www.hafsamx.org/cis-chmexico/seminar06/tutorial.pdf

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