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pro vyhledávání: '"Marcelo F. de S. Alves"'
Autor:
Deris Eduardo Spina, Luiz Felipe de O. Campos, Wallthynay F. de Arruda, Afrânio Melo, Marcelo F. de S. Alves, Gildeir Lima Rabello, Thiago K. Anzai, José Carlos Pinto
Publikováno v:
Digital Chemical Engineering, Vol 12, Iss , Pp 100162- (2024)
Fault detection constitutes a fundamental task for predictive maintenance, requiring mathematical models that can be conveniently provided by data-driven techniques. Autoencoders are a particular type of unsupervised Artificial Neural Networks that c
Externí odkaz:
https://doaj.org/article/47d9f106e9bb46699f6cc5f7a1f3f6a9
