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International Journal of General Systems Volume 37, 2008 - Issue 1: Soft Computing Systems
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Articles

Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis

Plamen Angelov Department of Communication Systems, Infolab21, Lancaster University, Lancaster, LA1 4WA, UKCorrespondence[email protected]
&
Edwin Lughofer Fuzzy Logic Laboratorium Linz-Hagenberg, Johannes Kepler University Linz, A-4040, Linz, Austria
Pages 45-67 | Received 01 Sep 2006, Accepted 16 May 2007, Published online: 24 Jun 2008

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Katharina Tschumitschew & Frank Klawonn. (2017) Effects of drift and noise on the optimal sliding window size for data stream regression models. Communications in Statistics - Theory and Methods 46:10, pages 5109-5132.
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Articles from other publishers (20)

Igor Škrjanc. (2021) An evolving concept in the identification of an interval fuzzy model of Wiener-Hammerstein nonlinear dynamic systems. Information Sciences 581, pages 73-87.
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Goran Andonovski, Edwin Lughofer & Igor Skrjanc. (2021) Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access 9, pages 158470-158480.
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Paulo Vitor de Campos Souza, Thiago Silva Rezende, Augusto Junio Guimaraes, Vanessa Souza Araujo, Lucas Oliveira Batista, Gabriel Adriano da Silva & Vinicius Jonathan Silva Araujo. (2019) Evolving fuzzy neural networks to aid in the construction of systems specialists in cyber attacks1. Journal of Intelligent & Fuzzy Systems 36:6, pages 6743-6763.
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Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko & Daria S. Kopaliani. (2017) An evolving connectionist system for data stream fuzzy clustering and its online learning. Neurocomputing 262, pages 41-56.
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Zhengbing Hu, Yevgeniy V. Bodyanskiy & Oleksii K. Tyshchenko. (2016) A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering.
Zhengbing Hu, Yevgeniy V. Bodyanskiy & Oleksii K. Tyshchenko. (2016) A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering.
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko & Daria S. Kopaliani. (2016) Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks. Evolving Systems 7:2, pages 107-116.
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Xiaowei Gu, Plamen P. Angelov, Azliza Mohd Ali, William A. Gruver & Georgi Gaydadjiev. (2016) Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream. Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream.
Ye. Bodyanskiy, O. Tyshchenko & D. Kopaliani. (2014) A hybrid cascade neural network with an optimized pool in each cascade. Soft Computing 19:12, pages 3445-3454.
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Yevgeniy Bodyanskiy, Oleksii Tyshchenko & Daria Kopaliani. (2015) An evolving neuro-fuzzy system for online fuzzy clustering. An evolving neuro-fuzzy system for online fuzzy clustering.
Alisson Marques Silva, Walmir Caminhas, Andre Lemos & Fernando Gomide. (2014) A fast learning algorithm for evolving neo-fuzzy neuron. Applied Soft Computing 14, pages 194-209.
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Di Wang, Xiao-Jun Zeng & John A. Keane. (2011) An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems. IEEE Transactions on Fuzzy Systems 19:6, pages 1127-1140.
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Edwin Lughofer, Bogdan Trawiński, Krzysztof Trawiński, Olgierd Kempa & Tadeusz Lasota. (2011) On employing fuzzy modeling algorithms for the valuation of residential premises. Information Sciences 181:23, pages 5123-5142.
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P. Angelov. (2011) Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41:4, pages 898-910.
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Bogdan Trawiński, Krzysztof Trawiński, Edwin Lughofer & Tadeusz Lasota. 2011. Fuzzy Logic and Applications. Fuzzy Logic and Applications 123 130 .
José V. Ramos, Carlos Pereira & António Dourado. 2010. Evolving Intelligent Systems. Evolving Intelligent Systems 127 150 .
Edwin Lughofer. 2010. Evolving Intelligent Systems. Evolving Intelligent Systems 87 126 .
Plamen Angelov. 2010. Evolving Intelligent Systems. Evolving Intelligent Systems 21 50 .
Tian-Hong PAN, Zhen-Kuang XUE & Shao-Yuan LI. (2009) An Online Multi-model Identification Algorithm Based on Subtractive Clustering. Acta Automatica Sinica 35:2, pages 220-224.
Crossref
Plamen Angelov, Xiaowei Zhou, Dimitar Filev & Edwin Lughofer. (2007) Architectures for evolving fuzzy rule-based classifiers. Architectures for evolving fuzzy rule-based classifiers.

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