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Ensemble Neural Network with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction and Its Optimization with PSO
Imprecision and Uncertainty in Information Representation and Processing - Studies in Fuzziness and Soft Computing
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10.1007/978-3-319-26302-1_22
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2015
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pp. 375-388
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Cited By ~ 1
Author(s):
Patricia Melin
◽
Martha Pulido
◽
Oscar Castillo
Keyword(s):
Neural Network
◽
Time Series
◽
Time Series Prediction
◽
Ensemble Neural Network
Download Full-text
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References
Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction
Studies in Computational Intelligence - Recent Advances on Hybrid Approaches for Designing Intelligent Systems
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10.1007/978-3-319-05170-3_7
◽
2014
◽
pp. 99-112
Author(s):
Martha Pulido
◽
Patricia Melin
Keyword(s):
Neural Network
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Time Series
◽
Network Optimization
◽
Time Series Prediction
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Particle Swarm
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Particle Swarm Algorithm
◽
Neural Network Optimization
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Ensemble Neural Network
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Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction
Studies in Computational Intelligence - Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
◽
10.1007/978-3-319-10960-2_9
◽
2014
◽
pp. 139-149
◽
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Author(s):
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Patricia Melin
Keyword(s):
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Time Series
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Network Optimization
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Particle Swarm
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Particle Swarm Algorithm
◽
Neural Network Optimization
◽
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Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction
Recent Developments and the New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing
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10.1007/978-3-319-75408-6_15
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2018
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pp. 175-189
Author(s):
Fernando Gaxiola
◽
Patricia Melin
◽
Fevrier Valdez
◽
Juan R. Castro
Keyword(s):
Neural Network
◽
Time Series
◽
Time Series Prediction
◽
Ensemble Neural Network
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Fuzzy Weights
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Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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10.1109/fuzz-ieee.2016.7737946
◽
2016
◽
Cited By ~ 1
Author(s):
Fernando Gaxiola
◽
Patricia Melin
◽
Fevrier Valdez
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Juan R. Castro
Keyword(s):
Neural Network
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Genetic Algorithm
◽
Time Series
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Particle Swarm Optimization
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Particle Swarm
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Swarm Optimization
◽
Ensemble Neural Network
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Time series prediction using ensembles of ANFIS models with genetic optimization of interval type-2 and type-1 fuzzy integrators
International Journal of Hybrid Intelligent Systems
◽
10.3233/his-140196
◽
2014
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Vol 11
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pp. 211-226
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Author(s):
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Patricia Melin
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Oscar Castillo
Keyword(s):
Time Series
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Time Series Prediction
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Genetic Optimization
◽
Interval Type
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Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization - Studies in Computational Intelligence
◽
10.1007/978-3-319-17747-2_6
◽
2015
◽
pp. 73-87
Author(s):
Fernando Gaxiola
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Patricia Melin
◽
Fevrier Valdez
Keyword(s):
Neural Network
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Time Series
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Fuzzy Weights
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Fuzzy Learning
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Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction
Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing
◽
10.1007/978-3-319-32229-2_24
◽
2016
◽
pp. 331-351
Author(s):
Jesus Soto
◽
Patricia Melin
◽
Oscar Castillo
Keyword(s):
Time Series
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Genetic Optimization
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An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test
Studies in Computational Intelligence - Soft Computing for Intelligent Control and Mobile Robotics
◽
10.1007/978-3-642-15534-5_17
◽
2010
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pp. 269-285
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Author(s):
Juan R. Castro
◽
Oscar Castillo
◽
Patricia Melin
◽
Olivia Mendoza
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Antonio Rodríguez-Díaz
Keyword(s):
Neural Network
◽
Time Series
◽
Fuzzy Neural Network
◽
Cross Validation
◽
Time Series Prediction
◽
Chaotic Time Series
◽
Fuzzy Neural
◽
Chaotic Time Series Prediction
◽
Interval Type
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An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Studies in Computational Intelligence
◽
10.1007/978-3-642-04514-1_6
◽
2009
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pp. 85-110
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Author(s):
Martha Pulido
◽
Alejandra Mancilla
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Keyword(s):
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Time Series
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Network Architecture
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Time Series Prediction
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Neural Network Architecture
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Complex Time
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Ensemble Neural Network
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An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction
Applied Soft Computing
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10.1016/j.asoc.2019.02.032
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2019
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Vol 78
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pp. 150-163
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Cited By ~ 31
Author(s):
Chao Luo
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Chenhao Tan
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Keyword(s):
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Online Learning
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Fuzzy Neural Network
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Time Series Prediction
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Intuitionistic Fuzzy
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Fuzzy Neural
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Interval Type
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Recurrent Interval
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