Application of multiple regression and neural networks to synthesize a model for peen forming process planning (2010)
- Authors:
- USP affiliated authors: MARTINS, FLAVIUS PORTELLA RIBAS - EP ; FLEURY, AGENOR DE TOLEDO - EP
- Unidade: EP
- Assunto: REDES NEURAIS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Achievements in Materials and Manufacturing Engineering
- ISSN: 1734-8412
- Volume/Número/Paginação/Ano: v. 43, n. 2, p. 651-656, Dec. 2010
-
ABNT
DELIJAICOV, Sergio e FLEURY, Agenor de Toledo e 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, v. 43, n. 2, p. 651-656, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf. Acesso em: 19 abr. 2024. -
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. Recuperado de https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf -
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 [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf -
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 [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf - Um sistema multiagente para a estimação da cobertura da conformação por jateamento em placas de alumínio
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