Bezerra, Francisco Elânio 
; Garcia, Fernando André Zemuner ; Nabeta, Silvio Ikuyo ; Souza, Gilberto Francisco Martha de ; Chabu, Ivan Eduardo ; Santos, Josemir Coelho ; Nagao Junior, Shigueru ; Pereira, Fábio Henrique
Assuntos: REDES NEURAIS (OTIMIZAÇÂO), TRANSFORMADORES E REATORES, ENERGIA ELÉTRICA
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BEZERRA, Francisco Elânio et al. Wavelet-like transform to optimize the order of an autoregressive neural network model to predict the dissolved gas concentration in power transformer oil from sensor data. Sensors, v. 20, n. 9, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20092730. Acesso em: 07 nov. 2024.APA
Bezerra, F. E., Garcia, F. A. Z., Nabeta, S. I., Souza, G. F. M. de, Chabu, I. E., Santos, J. C., et al. (2020). Wavelet-like transform to optimize the order of an autoregressive neural network model to predict the dissolved gas concentration in power transformer oil from sensor data. Sensors, 20( 9). doi:10.3390/s20092730NLM
Bezerra FE, Garcia FAZ, Nabeta SI, Souza GFM de, Chabu IE, Santos JC, Nagao Junior S, Pereira FH. Wavelet-like transform to optimize the order of an autoregressive neural network model to predict the dissolved gas concentration in power transformer oil from sensor data [Internet]. Sensors. 2020 ; 20( 9):[citado 2024 nov. 07 ] Available from: https://doi.org/10.3390/s20092730Vancouver
Bezerra FE, Garcia FAZ, Nabeta SI, Souza GFM de, Chabu IE, Santos JC, Nagao Junior S, Pereira FH. Wavelet-like transform to optimize the order of an autoregressive neural network model to predict the dissolved gas concentration in power transformer oil from sensor data [Internet]. Sensors. 2020 ; 20( 9):[citado 2024 nov. 07 ] Available from: https://doi.org/10.3390/s20092730
