Interval type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimisation with genetic algorithms-Reference-Cited by-同舟云学术

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

Published:2008 Issue:1 Volume:1 Page:114
ISSN:1755-8301
Container-title:International Journal of Biometrics
language:en
Short-container-title:IJBM

Author:

Hidalgo Denisse,Castillo Oscar,Melin Patricia

Publisher

Inderscience Publishers

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Computer Vision and Pattern Recognition

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Parameter Adaptation in Genetic Algorithms for the Optimization of Fuzzy Integrators in Modular Neural Networks for Multimodal Biometry;Computación y Sistemas;2020-09-30

2. Basic Theory for the Type-2 Fuzzy Sugeno Integral;Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic;2019-03-29

3. Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks;Recent Developments and New Direction in Soft-Computing Foundations and Applications;2016

4. Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks;Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization;2015

5. Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions;Soft Computing for Recognition Based on Biometrics;2010

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