Optimization of Ensemble Neural Networks with Type-2 Fuzzy Integration of Responses for the Dow Jones Time Series Prediction

Intelligent Automation & Soft Computing ◽

10.1080/10798587.2014.893047 ◽

2014 ◽

Vol 20 (3) ◽

pp. 403-418 ◽

Author(s):

Patricia Melin ◽

Martha Pulido

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Ensemble Neural Networks

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Optimization using the firefly algorithm of ensemble neural networks with type-2 fuzzy integration for COVID-19 time series prediction

Soft Computing ◽

10.1007/s00500-020-05549-5 ◽

2021 ◽

Author(s):

Patricia Melin ◽

Daniela Sánchez ◽

Julio Cesar Monica ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Time Series ◽

Firefly Algorithm ◽

Time Series Prediction ◽

Ensemble Neural Networks

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Ensemble neural networks with fuzzy logic integration for complex time series prediction

International Journal of Intelligent Engineering Informatics ◽

10.1504/ijiei.2010.033531 ◽

2010 ◽

Vol 1 (1) ◽

pp. 89 ◽

Author(s):

Martha Pulido ◽

Alejandra Mancilla ◽

Patricia Melin

Keyword(s):

Neural Networks ◽

Time Series ◽

Fuzzy Logic ◽

Time Series Prediction ◽

Complex Time ◽

Ensemble Neural Networks

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Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the US Dolar/MX pesos time series

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) ◽

10.1109/ifsa-nafips.2013.6608626 ◽

2013 ◽

Author(s):

Martha Pulido ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Time Series ◽

The Us ◽

Ensemble Neural Networks

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Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction

Intelligent Engineering Systems through Artificial Neural Networks ◽

10.1115/1.802953.paper66 ◽

2009 ◽

pp. 531-538

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Complex Time ◽

Ensemble Neural Networks

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Generalized type-2 fuzzy weight adjustment for backpropagation neural networks in time series prediction

Information Sciences ◽

10.1016/j.ins.2015.07.020 ◽

2015 ◽

Vol 325 ◽

pp. 159-174 ◽

Author(s):

Fernando Gaxiola ◽

Patricia Melin ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Backpropagation Neural Networks ◽

Fuzzy Weight ◽

Generalized Type

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Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the Dow Jones time series

2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS) ◽

10.1109/nafips.2012.6291046 ◽

2012 ◽

Author(s):

Martha Elena Pulido ◽

Patricia Melin

Keyword(s):

Neural Networks ◽

Time Series ◽

Ensemble Neural Networks

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Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction

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

10.1007/978-3-642-04516-5_9 ◽

2009 ◽

pp. 143-155 ◽

Author(s):

Martha Pulido ◽

Alejandra Mancilla ◽

Patricia Melin

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Complex Time ◽

Ensemble Neural Networks

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Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction

Soft Computing ◽

10.1007/s00500-013-1139-y ◽

2013 ◽

Vol 18 (6) ◽

pp. 1213-1224 ◽

Author(s):

Oscar Castillo ◽

Juan R. Castro ◽

Patricia Melin ◽

Antonio Rodriguez-Diaz

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Fuzzy Neural ◽

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Comparison of Genetic Algorithm and Particle Swarm Optimization of Ensemble Neural Networks for Complex Time Series Prediction

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing - Studies in Computational Intelligence ◽

10.1007/978-3-030-58728-4_3 ◽

2020 ◽

pp. 51-77

Author(s):

Martha Pulido ◽

Patricia Melin

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Time Series ◽

Particle Swarm Optimization ◽

Time Series Prediction ◽

Particle Swarm ◽

Swarm Optimization ◽

Complex Time ◽

Ensemble Neural Networks

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Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2018.2834356 ◽

2019 ◽

Vol 49 (7) ◽

pp. 2720-2731 ◽

Author(s):

Min Han ◽

Kai Zhong ◽

Tie Qiu ◽

Bing Han

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Chaotic Time Series ◽

Concise Overview ◽

Fuzzy Neural ◽

Chaotic Time Series Prediction ◽

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