Filtros : "INTELIGÊNCIA ARTIFICIAL" "Polônia" Removidos: "Caulkins, Chandler Wellington" "ARRUDA, HENRIQUE FERRAZ DE" Limpar

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  • Source: Proceedings. Conference titles: IEEE International Conference on Methods and Models in Automation and Robotics. Unidades: FFCLRP, ICMC, EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      TINÓS, Renato e CARVALHO, André Carlos Ponce de Leon Ferreira de e TERRA, Marco Henrique. An evolutionary neural network for fault classification in non-stationary problems. 2004, Anais.. Miedzyzdroje: IEEE, 2004. . Acesso em: 10 out. 2024.
    • APA

      Tinós, R., Carvalho, A. C. P. de L. F. de, & Terra, M. H. (2004). An evolutionary neural network for fault classification in non-stationary problems. In Proceedings. Miedzyzdroje: IEEE.
    • NLM

      Tinós R, Carvalho ACP de LF de, Terra MH. An evolutionary neural network for fault classification in non-stationary problems. Proceedings. 2004 ;[citado 2024 out. 10 ]
    • Vancouver

      Tinós R, Carvalho ACP de LF de, Terra MH. An evolutionary neural network for fault classification in non-stationary problems. Proceedings. 2004 ;[citado 2024 out. 10 ]
  • Source: Neuro-fuzzy techniques for intelligent information systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      KACPRZYK, Janusz e ROMERO, Roseli Aparecida Francelin e GOMIDE, Fernando Antonio Campos. A neural network for fuzzy dynamic programming and its use in socio economic regional development planning. Neuro-fuzzy techniques for intelligent information systems. Tradução . Warsaw: Physica-Verlag, 1999. . . Acesso em: 10 out. 2024.
    • APA

      Kacprzyk, J., Romero, R. A. F., & Gomide, F. A. C. (1999). A neural network for fuzzy dynamic programming and its use in socio economic regional development planning. In Neuro-fuzzy techniques for intelligent information systems. Warsaw: Physica-Verlag.
    • NLM

      Kacprzyk J, Romero RAF, Gomide FAC. A neural network for fuzzy dynamic programming and its use in socio economic regional development planning. In: Neuro-fuzzy techniques for intelligent information systems. Warsaw: Physica-Verlag; 1999. [citado 2024 out. 10 ]
    • Vancouver

      Kacprzyk J, Romero RAF, Gomide FAC. A neural network for fuzzy dynamic programming and its use in socio economic regional development planning. In: Neuro-fuzzy techniques for intelligent information systems. Warsaw: Physica-Verlag; 1999. [citado 2024 out. 10 ]
  • Source: Systems Science. Unidade: EP

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      HASEGAWA, Kensue et al. Proposal of PFS-R as a modeling tool for complex resource sharing discrete production systems. Systems Science, v. 25, n. 1, p. 57-70, 1999Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/3bf83ac6-4673-4f98-9248-f560017bff68/Miyagi-1999-proposal%20of%20pfs-r%20as%20a%20modeling%20tool.pdf. Acesso em: 10 out. 2024.
    • APA

      Hasegawa, K., Miyagi, P. E., Takahashi, K., Li-Qun, M., & Sugisawa, M. (1999). Proposal of PFS-R as a modeling tool for complex resource sharing discrete production systems. Systems Science, 25( 1), 57-70. Recuperado de https://repositorio.usp.br/directbitstream/3bf83ac6-4673-4f98-9248-f560017bff68/Miyagi-1999-proposal%20of%20pfs-r%20as%20a%20modeling%20tool.pdf
    • NLM

      Hasegawa K, Miyagi PE, Takahashi K, Li-Qun M, Sugisawa M. Proposal of PFS-R as a modeling tool for complex resource sharing discrete production systems [Internet]. Systems Science. 1999 ; 25( 1): 57-70.[citado 2024 out. 10 ] Available from: https://repositorio.usp.br/directbitstream/3bf83ac6-4673-4f98-9248-f560017bff68/Miyagi-1999-proposal%20of%20pfs-r%20as%20a%20modeling%20tool.pdf
    • Vancouver

      Hasegawa K, Miyagi PE, Takahashi K, Li-Qun M, Sugisawa M. Proposal of PFS-R as a modeling tool for complex resource sharing discrete production systems [Internet]. Systems Science. 1999 ; 25( 1): 57-70.[citado 2024 out. 10 ] Available from: https://repositorio.usp.br/directbitstream/3bf83ac6-4673-4f98-9248-f560017bff68/Miyagi-1999-proposal%20of%20pfs-r%20as%20a%20modeling%20tool.pdf

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