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  • Fonte: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP

    Assunto: REDES NEURAIS

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    • 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: 22 jul. 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 jul. 22 ] 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 jul. 22 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
  • Fonte: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP

    Assuntos: VISÃO COMPUTACIONAL, PROCESSOS DE FABRICAÇÃO, TRATAMENTO DE SUPERFÍCIES

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    • ABNT

      VIEIRA, Luiz Carlos et al. Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, v. 43, n. 2, p. 743-749, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf. Acesso em: 22 jul. 2024.
    • APA

      Vieira, L. C., Almeida, R. H. Z., Martins, F. P. R., & Fleury, A. de T. (2010). Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 743-749. Recuperado de https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf
    • NLM

      Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2024 jul. 22 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf
    • Vancouver

      Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2024 jul. 22 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf

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