Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application (2016)
- Authors:
- Autor USP: BRANDÃO, DENNIS - EESC
- Unidade: EESC
- DOI: 10.1016/j.ifacol.2016.11.160
- Subjects: RADAR; REDES NEURAIS; AUTOMAÇÃO INDUSTRIAL; ENGENHARIA ELÉTRICA
- Language: Inglês
- Imprenta:
- Publisher: IFAC
- Publisher place: Laxenburg, Austria
- Date published: 2016
- Conference titles: Symposium on Telematics Application - IFAC
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
-
ABNT
BORG, Denis et al. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application. 2016, Anais.. Laxenburg, Austria: IFAC, 2016. Disponível em: https://doi.org/10.1016/j.ifacol.2016.11.160. Acesso em: 23 abr. 2024. -
APA
Borg, D., Pinto, F. F., Suetake, M., & Brandão, D. (2016). Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application. In . Laxenburg, Austria: IFAC. doi:10.1016/j.ifacol.2016.11.160 -
NLM
Borg D, Pinto FF, Suetake M, Brandão D. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application [Internet]. 2016 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.ifacol.2016.11.160 -
Vancouver
Borg D, Pinto FF, Suetake M, Brandão D. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application [Internet]. 2016 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.ifacol.2016.11.160 - Ferramenta de simulação para projeto, avaliação e ensino de redes fieldbus
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Informações sobre o DOI: 10.1016/j.ifacol.2016.11.160 (Fonte: oaDOI API)
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