Time-series prediction using self-organizing fuzzy neural networks

2009 IEEE Youth Conference on Information, Computing and Telecommunication ◽

10.1109/ycict.2009.5382344 ◽

2009 ◽

Author(s):

Ning Wang ◽

Xian-yao Meng

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Fuzzy Neural ◽

Self Organizing

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An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889431 ◽

2014 ◽

Author(s):

Yilin Dong ◽

Jianhua Zhang

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Nonlinear Time Series ◽

Fuzzy 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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Time series prediction using crisp and fuzzy neural networks: a comparative study

Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520) ◽

10.1109/cifer.2000.844619 ◽

2002 ◽

Author(s):

B. Bouqata ◽

A. Bensaid ◽

R. Palliam ◽

A.F. Gomez Skarmeta

Keyword(s):

Neural Networks ◽

Time Series ◽

Comparative Study ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

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Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs

2021 IEEE International Conference on Mechatronics (ICM) ◽

10.1109/icm46511.2021.9385693 ◽

2021 ◽

Author(s):

Mohammad Reza Chalak Qazani ◽

Houshyar Asadi ◽

Mohammed Al-Ashmori ◽

Shady Mohamed ◽

Chee Peng Lim ◽

...

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Signal Prediction ◽

Motion Signal ◽

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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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Time Series Prediction Using Random Weights Fuzzy Neural Networks

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz48607.2020.9177651 ◽

2020 ◽

Author(s):

Antonello Rosato ◽

Massimo Panella

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Random Weights ◽

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Time series prediction using bayesian filtering model and fuzzy neural networks

Optik ◽

10.1016/j.ijleo.2017.03.096 ◽

2017 ◽

Vol 140 ◽

pp. 104-113 ◽

Author(s):

Qinkun Xiao

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Bayesian Filtering ◽

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A hybrid learning algorithm for Interval Type-2 Fuzzy Neural Networks in time series prediction for the case of air pollution

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society ◽

10.1109/nafips.2008.4531338 ◽

2008 ◽

Author(s):

J. R. Castro ◽

O. Castillo ◽

P. Melin ◽

A. Rodriguez-Diaz

Keyword(s):

Neural Networks ◽

Air Pollution ◽

Time Series ◽

Learning Algorithm ◽

Time Series Prediction ◽

Hybrid Learning ◽

Fuzzy Neural Networks ◽

Fuzzy Neural ◽

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A Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks: The Case of Time Series Prediction

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

10.1007/978-3-540-70812-4_22 ◽

2008 ◽

pp. 363-386 ◽

Author(s):

Juan R. Castro ◽

Oscar Castillo ◽

Patricia Melin ◽

Antonio Rodríguez-Díaz

Keyword(s):

Neural Networks ◽

Time Series ◽

Learning Algorithm ◽

Time Series Prediction ◽

Hybrid Learning ◽

Fuzzy Neural Networks ◽

Hybrid Learning Algorithm ◽

Fuzzy Neural ◽

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TSK interval type-2 fuzzy neural networks for chaotic time series prediction

2010 8th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2010.5553888 ◽

2010 ◽

Author(s):

Liang Zhao

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Chaotic Time Series ◽

Fuzzy Neural ◽

Chaotic Time Series Prediction ◽

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