Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks

Studies in Computational Intelligence - Soft Computing for Hybrid Intelligent Systems ◽

10.1007/978-3-540-70812-4_7 ◽

2008 ◽

pp. 115-127 ◽

Author(s):

Olivia Mendoza ◽

Patricia Melín ◽

Guillermo Licea

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Interval type-2 fuzzy logic gravitational search algorithm for the optimization of modular neural networks in echocardiogram recognition

2016 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2016.7850134 ◽

2016 ◽

Author(s):

Beatriz Gonzalez ◽

Patricia Melin ◽

Fevrier Valdez ◽

German Prado-Arechiga

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Modular Neural Networks ◽

Gravitational Search ◽

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A Method for Response Integration in Modular Neural Networks using Interval Type-2 Fuzzy Logic

2007 IEEE International Fuzzy Systems Conference ◽

10.1109/fuzzy.2007.4295373 ◽

2007 ◽

Author(s):

Jerica Urias ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633970 ◽

2008 ◽

Author(s):

Olivia Mendoza ◽

Patricia Melin ◽

Guillermo Licea

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Response Integration of Modular Neural Networks

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-642-24139-0_8 ◽

2012 ◽

pp. 93-105

Author(s):

Patricia Melin

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks

2009 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2009.5277419 ◽

2009 ◽

Author(s):

Olivia Mendoza ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633878 ◽

2008 ◽

Author(s):

Denisse Hidalgo ◽

Oscar Castillo ◽

Patricia Melin

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

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Interval type-2 fuzzy logic and modular neural networks for face recognition applications

Applied Soft Computing ◽

10.1016/j.asoc.2009.06.007 ◽

2009 ◽

Vol 9 (4) ◽

pp. 1377-1387 ◽

Author(s):

Olivia Mendoza ◽

Patricia Melín ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Face Recognition ◽

Modular Neural Networks ◽

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Face Recognition With an Improved Interval Type-2 Fuzzy Logic Sugeno Integral and Modular Neural Networks

IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans ◽

10.1109/tsmca.2010.2104318 ◽

2011 ◽

Vol 41 (5) ◽

pp. 1001-1012 ◽

Author(s):

P. Melin ◽

O. Mendoza ◽

O. Castillo

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Face Recognition ◽

Sugeno Integral ◽

Modular Neural Networks ◽

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Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry

Studies in Computational Intelligence - Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition ◽

10.1007/978-3-642-04516-5_7 ◽

2009 ◽

pp. 111-121 ◽

Author(s):

Denisse Hidalgo ◽

Patricia Melin ◽

Guillermo Licea

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Modular Neural Networks ◽

Evolutionary Method ◽

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Interval Type-2 Fuzzy Logic for Improving Feature Extraction and Response Integration in Modular Neural Networks for Image Recognition

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17 ◽

10.1115/1.802655.paper68 ◽

2007 ◽

pp. 435-440

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Feature Extraction ◽

Image Recognition ◽

Modular Neural Networks ◽

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