Source: I E E E Transactions on Industry Applications. Unidade: EP
Subjects: REDES DE COMPUTADORES, ESTRUTURAS OFFSHORE FLUTUANTES, ÓLEOS COMBUSTÍVEIS (EXPLORAÇÃO)
ABNT
SIMÕES, Marcelo Godoy e MERMA TIQUILLOCA, Jhonny Leonidas e MORISHITA, Helio Mitio. Neural-network-based prediction of mooring forces in floating production storage and offloading systems. I E E E Transactions on Industry Applications, v. 38, n. 2, p. 457-466, 2002Tradução . . Disponível em: https://doi.org/10.1109/28.993167. Acesso em: 12 nov. 2024.APA
Simões, M. G., Merma Tiquilloca, J. L., & Morishita, H. M. (2002). Neural-network-based prediction of mooring forces in floating production storage and offloading systems. I E E E Transactions on Industry Applications, 38( 2), 457-466. doi:10.1109/28.993167NLM
Simões MG, Merma Tiquilloca JL, Morishita HM. Neural-network-based prediction of mooring forces in floating production storage and offloading systems [Internet]. I E E E Transactions on Industry Applications. 2002 ; 38( 2): 457-466.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/28.993167Vancouver
Simões MG, Merma Tiquilloca JL, Morishita HM. Neural-network-based prediction of mooring forces in floating production storage and offloading systems [Internet]. I E E E Transactions on Industry Applications. 2002 ; 38( 2): 457-466.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/28.993167