Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition-Reference-Cited by-同舟云学术

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Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition

Published:2022-05-24 Issue:5 Volume:13 Page:653-666
ISSN:1868-6478
Container-title:Evolving Systems
language:en
Short-container-title:Evolving Systems

Author:

Neto Carlos M. Viriato,Honorio Luca G.,de Aguiar Eduardo P.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo á Pesquisa do Estado de Minas Gerais

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s12530-022-09440-6.pdf

Reference55 articles.

1. Aggarwal AKDA, Charu C (2001) HINNEBURG, On the surprising behavior of distance metrics in high dimensional space. Int Conf Database Theory 420–434. https://doi.org/10.1007/3-540-44503-X_27

2. Amaral R, Ribeiro M, Pestana de Aguiar E (2019) Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems. Neurocomputing 355:57–70. https://doi.org/10.1016/j.neucom.2019.05.002

3. An T-K, Kim M-H (2010) A new diverse adaboost classifier. In: 2010 International Conference on Artificial Intelligence and Computational Intelligence, Vol. 1, pp 359–363. https://doi.org/10.1109/AICI.2010.82

4. Angelov P (2013) Autonomous learning systems. Wiley, Amsterdam

5. Angelov P, Gu X (2017) A cascade of deep learning fuzzy rule-based image classifier and svm. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp 746–751. https://doi.org/10.1109/SMC.2017.8122697.

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