Source: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP
Assunto: REDES NEURAIS
ABNT
DELIJAICOV, Sergio; FLEURY, Agenor de Toledo; MARTINS, Flavius Portella Ribas. Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, Gliwice, v. 43, n. 2, p. 651-656, 2010.APA
Delijaicov, S., Fleury, A. de T., & Martins, F. P. R. (2010). Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 651-656.NLM
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.Vancouver
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.