Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Subjects: HELICÓPTEROS, REDES NEURAIS, IDENTIFICAÇÃO DE SISTEMAS
ABNT
MARQUES, Flávio Donizeti et al. Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 27, n. 2, p. 97-103, 2005Tradução . . Disponível em: https://doi.org/10.1590/s1678-58782005000200001. Acesso em: 02 nov. 2024.APA
Marques, F. D., Souza, L. de F. R. de, Rebolho, D. C., Caporali, A. S., Belo, E. M., & Ortolan, R. L. (2005). Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 27( 2), 97-103. doi:10.1590/s1678-58782005000200001NLM
Marques FD, Souza L de FR de, Rebolho DC, Caporali AS, Belo EM, Ortolan RL. Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2005 ; 27( 2): 97-103.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1590/s1678-58782005000200001Vancouver
Marques FD, Souza L de FR de, Rebolho DC, Caporali AS, Belo EM, Ortolan RL. Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2005 ; 27( 2): 97-103.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1590/s1678-58782005000200001