An overview on evolving systems and learning from stream data-Reference-Cited by-同舟云学术

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An overview on evolving systems and learning from stream data

Published:2020-03-16 Issue:2 Volume:11 Page:181-198
ISSN:1868-6478
Container-title:Evolving Systems
language:en
Short-container-title:Evolving Systems

Author:

Leite Daniel^ORCID,Škrjanc Igor,Gomide Fernando

Funder

Instituto Serrapilheira

Javna Agencija za Raziskovalno Dejavnost RS

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12530-020-09334-5.pdf

Reference118 articles.

1. Abonyi J, Babuška R, Szeifert F (2002) Modified gath-geva fuzzy clustering for identification of takagi-sugeno fuzzy models. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 32(5):612–621

2. Agrawal R, Bala R (2008) Incremental bayesian classification for multivariate normal distribution data. Pattern Recognit Lett 29:1873–1876

3. Andonovski G, Angelov P, Blažič S, Škrjanc I (2016) A practical implementation of robust evolving cloud-based controller with normalized data space for heat-exchanger plant. Appl Soft Comput 48:29–38

4. Angelov PP (2002) Evolving rule-based models: a tool for design of flexible adaptive systems. Springer-Verlag, London

5. Angelov P (2012) Autonomous learning systems: from data streams to knowledge in real-time. Wiley, Hoboken

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