Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results

Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Rafael Bello; Koen Vanhoof

doi:10.1109/CIVEMSA.2018.8439971

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results

Gerardo Felix^*, Gonzalo Nápoles, Rafael Falcon, Rafael Bello, Koen Vanhoof

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/CIVEMSA.2018.8439971
Publication status	Published - 2018
Externally published	Yes
Event	2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) - Duration: 12 Jun 2018 → …

Conference

Conference	2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
Period	12/06/18 → …

Access to Document

10.1109/CIVEMSA.2018.8439971

Cite this

Felix, G., Nápoles, G., Falcon, R., Bello, R., & Vanhoof, K. (2018). Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. In Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) (pp. 1-6) https://doi.org/10.1109/CIVEMSA.2018.8439971

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title = "Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results",

author = "Gerardo Felix and Gonzalo N{\'a}poles and Rafael Falcon and Rafael Bello and Koen Vanhoof",

year = "2018",

doi = "10.1109/CIVEMSA.2018.8439971",

language = "English",

pages = "1--6",

booktitle = "Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)",

note = "2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) ; Conference date: 12-06-2018",

}

Felix, G, Nápoles, G, Falcon, R, Bello, R & Vanhoof, K 2018, Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. in Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). pp. 1-6, 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12/06/18. https://doi.org/10.1109/CIVEMSA.2018.8439971

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. / Felix, Gerardo; Nápoles, Gonzalo; Falcon, Rafael et al.
Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results

AU - Felix, Gerardo

AU - Nápoles, Gonzalo

AU - Falcon, Rafael

AU - Bello, Rafael

AU - Vanhoof, Koen

PY - 2018

Y1 - 2018

U2 - 10.1109/CIVEMSA.2018.8439971

DO - 10.1109/CIVEMSA.2018.8439971

M3 - Conference contribution

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BT - Proceedings of 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

T2 - 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

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