Fonte: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Assuntos: REDES NEURAIS, TURBULÊNCIA ATMOSFÉRICA, VOO (ENGENHARIA AERONÁUTICA), ENGENHARIA AERONÁUTICA
ABNT
OLIVEIRA, Matheus Marcondes et al. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 44, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40430-022-03386-1. Acesso em: 21 out. 2024.APA
Oliveira, M. M., Sotto Mayor, G., Macedo, J. P. C. A. de, & Bidinotto, J. H. (2022). Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44, 1-11. doi:10.1007/s40430-022-03386-1NLM
Oliveira MM, Sotto Mayor G, Macedo JPCA de, Bidinotto JH. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2022 ; 44 1-11.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s40430-022-03386-1Vancouver
Oliveira MM, Sotto Mayor G, Macedo JPCA de, Bidinotto JH. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2022 ; 44 1-11.[citado 2024 out. 21 ] Available from: https://doi.org/10.1007/s40430-022-03386-1