Filtros : "Alemanha" "SILVA, IVAN NUNES DA" Limpar

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  • Source: Circuits, Systems, and Signal Processing. Unidade: EESC

    Subjects: PROCESSAMENTO DE SINAIS, ÁUDIO DIGITAL, INTERNET DAS COISAS, ANÁLISE DE ONDALETAS

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      ESCOLA, João Paulo Lemos et al. The haar wavelet transform in IoT digital audio signal processing. Circuits, Systems, and Signal Processing, v. 41, p. 4174–4184, 2022Tradução . . Disponível em: http://dx.doi.org/10.1007/s00034-022-01979-8. Acesso em: 16 ago. 2024.
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      Escola, J. P. L., Souza, U., Guido, R. C., & Silva, I. N. da. (2022). The haar wavelet transform in IoT digital audio signal processing. Circuits, Systems, and Signal Processing, 41, 4174–4184. doi:10.1007/s00034-022-01979-8
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      Escola JPL, Souza U, Guido RC, Silva IN da. The haar wavelet transform in IoT digital audio signal processing [Internet]. Circuits, Systems, and Signal Processing. 2022 ; 41 4174–4184.[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/s00034-022-01979-8
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      Escola JPL, Souza U, Guido RC, Silva IN da. The haar wavelet transform in IoT digital audio signal processing [Internet]. Circuits, Systems, and Signal Processing. 2022 ; 41 4174–4184.[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/s00034-022-01979-8
  • Source: Soft Computing. Unidade: EESC

    Subjects: ENGENHARIA ELÉTRICA, MOTORES DE INDUÇÃO, REDES NEURAIS

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      PALÁCIOS, Rodrigo Henrique Cunha et al. Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults: a case study with facial expressions. Soft Computing, p. [1-12], 2020Tradução . . Disponível em: https://doi.org/10.1007/s00500-020-04986-6. Acesso em: 16 ago. 2024.
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      Palácios, R. H. C., Silva, I. N. da, Godoy, W. F. de, Fabri, J. A., & Souza, L. B. de. (2020). Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults: a case study with facial expressions. Soft Computing, [1-12]. doi:10.1007/s00500-020-04986-6
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      Palácios RHC, Silva IN da, Godoy WF de, Fabri JA, Souza LB de. Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults: a case study with facial expressions [Internet]. Soft Computing. 2020 ; [1-12].[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00500-020-04986-6
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      Palácios RHC, Silva IN da, Godoy WF de, Fabri JA, Souza LB de. Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults: a case study with facial expressions [Internet]. Soft Computing. 2020 ; [1-12].[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00500-020-04986-6
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: MOTORES DE INDUÇÃO, FALHA, ENGENHARIA ELÉTRICA

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      GONGORA, Wylliam Salviano et al. Reference signal injection in induction motors drives to electrical failures detection. Journal of Control, Automation and Electrical Systems, v. 30, n. 2, p. 242-252, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00442-5. Acesso em: 16 ago. 2024.
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      Gongora, W. S., Silva, I. N. da, Goedtel, A., Castoldi, M. F., & Santos, T. H. dos. (2019). Reference signal injection in induction motors drives to electrical failures detection. Journal of Control, Automation and Electrical Systems, 30( 2), 242-252. doi:10.1007/s40313-019-00442-5
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      Gongora WS, Silva IN da, Goedtel A, Castoldi MF, Santos TH dos. Reference signal injection in induction motors drives to electrical failures detection [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 2): 242-252.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-019-00442-5
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      Gongora WS, Silva IN da, Goedtel A, Castoldi MF, Santos TH dos. Reference signal injection in induction motors drives to electrical failures detection [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 2): 242-252.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-019-00442-5
  • Source: Advances in Intelligent Systems and Computing -AISC. Conference titles: International Conference Distributed Computing and Artificial Intelligence. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS

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      BORGES, Fábbio Anderson Silva e SILVA, Ivan Nunes da e FERNANDES, Ricardo A. S. Feature extraction-based method for voltage sag source location in the context of smart grids. 2017, Anais.. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2017. Disponível em: http://dx.doi.org/10.1007/978-3-319-62410-5_9. Acesso em: 16 ago. 2024.
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      Borges, F. A. S., Silva, I. N. da, & Fernandes, R. A. S. (2017). Feature extraction-based method for voltage sag source location in the context of smart grids. In Advances in Intelligent Systems and Computing -AISC. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-319-62410-5_9
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      Borges FAS, Silva IN da, Fernandes RAS. Feature extraction-based method for voltage sag source location in the context of smart grids [Internet]. Advances in Intelligent Systems and Computing -AISC. 2017 ;[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/978-3-319-62410-5_9
    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS. Feature extraction-based method for voltage sag source location in the context of smart grids [Internet]. Advances in Intelligent Systems and Computing -AISC. 2017 ;[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/978-3-319-62410-5_9
  • Source: Proceedings. Conference titles: International Conference Data Mining and Big Data - DMBD. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, SISTEMAS ELÉTRICOS, BIG DATA, APRENDIZADO COMPUTACIONAL, ALGORITMOS

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      BORGES, Fábbio Anderson Silva et al. Classification of power quality disturbances using forest algorithm. 2016, Anais.. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: http://dx.doi.org/10.1007/978-3-319-40973-3_24. Acesso em: 16 ago. 2024.
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      Borges, F. A. S., Silva, I. N. da, Fernandes, R. A. S., & Moraes, L. (2016). Classification of power quality disturbances using forest algorithm. In Proceedings. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-319-40973-3_24
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      Borges FAS, Silva IN da, Fernandes RAS, Moraes L. Classification of power quality disturbances using forest algorithm [Internet]. Proceedings. 2016 ;[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/978-3-319-40973-3_24
    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS, Moraes L. Classification of power quality disturbances using forest algorithm [Internet]. Proceedings. 2016 ;[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1007/978-3-319-40973-3_24
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, ENERGIA ELÉTRICA (QUALIDADE), MOTORES DE INDUÇÃO

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      PALÁCIOS, Rodrigo Henrique Cunha et al. A robust neural method to estimate torque in three-phase induction motor. Journal of Control, Automation and Electrical Systems, v. 25, n. 4, p. 493-502, 2014Tradução . . Disponível em: https://doi.org/10.1007/s40313-014-0118-6. Acesso em: 16 ago. 2024.
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      Palácios, R. H. C., Silva, I. N. da, Goedtel, A., Godoy, W. F., & Oleskovicz, M. (2014). A robust neural method to estimate torque in three-phase induction motor. Journal of Control, Automation and Electrical Systems, 25( 4), 493-502. doi:10.1007/s40313-014-0118-6
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      Palácios RHC, Silva IN da, Goedtel A, Godoy WF, Oleskovicz M. A robust neural method to estimate torque in three-phase induction motor [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 4): 493-502.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-014-0118-6
    • Vancouver

      Palácios RHC, Silva IN da, Goedtel A, Godoy WF, Oleskovicz M. A robust neural method to estimate torque in three-phase induction motor [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 4): 493-502.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-014-0118-6
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: SISTEMAS ELÉTRICOS (AUTOMAÇÃO), EDITORIAL

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      SILVA, Ivan Nunes da. Editorial: new journal for publishing relevant research in control, automation and electrical systems. Journal of Control, Automation and Electrical Systems. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s40313-013-0024-3. Acesso em: 16 ago. 2024. , 2013
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      Silva, I. N. da. (2013). Editorial: new journal for publishing relevant research in control, automation and electrical systems. Journal of Control, Automation and Electrical Systems. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/s40313-013-0024-3
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      Silva IN da. Editorial: new journal for publishing relevant research in control, automation and electrical systems [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 1): 1-2.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-013-0024-3
    • Vancouver

      Silva IN da. Editorial: new journal for publishing relevant research in control, automation and electrical systems [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 1): 1-2.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s40313-013-0024-3
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC

    Subjects: SISTEMAS IMUNOLÓGICOS ARTIFICIAIS, ALGORITMOS GENÉTICOS

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      FRANCISCO, Daniela Oliveira e SILVA, Ivan Nunes da. On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34487-9_77. Acesso em: 16 ago. 2024. , 2012
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      Francisco, D. O., & Silva, I. N. da. (2012). On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34487-9_77
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      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
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      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC

    Subjects: LUZ, FREIOS, SISTEMAS VEICULARES, REDES NEURAIS

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      ORTEGA, Antonio Vanderlei e SILVA, Ivan Nunes da. Neural network based approach for automotive brake light parameter estimation. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34478-7_74. Acesso em: 16 ago. 2024. , 2012
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      Ortega, A. V., & Silva, I. N. da. (2012). Neural network based approach for automotive brake light parameter estimation. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34478-7_74
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      Ortega AV, Silva IN da. Neural network based approach for automotive brake light parameter estimation [Internet]. Lecture Notes in Computer Science. 2012 ; 7666 611-618.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
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      Ortega AV, Silva IN da. Neural network based approach for automotive brake light parameter estimation [Internet]. Lecture Notes in Computer Science. 2012 ; 7666 611-618.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artifical Intelligence and Soft Computing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO DINÂMICA

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      PIRES, Matheus Giovanni e SILVA, Ivan Nunes da. Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-13232-2_10. Acesso em: 16 ago. 2024. , 2010
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      Pires, M. G., & Silva, I. N. da. (2010). Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-13232-2_10
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      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
    • Vancouver

      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: EESC

    Subjects: LÓGICA FUZZY, ALGORITMOS

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      SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. Disponível em: https://doi.org/10.1007/978-3-642-04274-4_83. Acesso em: 16 ago. 2024. , 2009
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      Silva, I. N. da, & Flauzino, R. A. (2009). Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. doi:10.1007/978-3-642-04274-4_83
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      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
    • Vancouver

      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO NÃO LINEAR

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      BERTONI, Fabiana Cristina e SILVA, Ivan Nunes da. Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-10677-4_30. Acesso em: 16 ago. 2024. , 2009
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      Bertoni, F. C., & Silva, I. N. da. (2009). Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-10677-4_30
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      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
    • Vancouver

      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
  • Source: International Journal of Automotive Technology. Unidade: EESC

    Subjects: INDÚSTRIA AUTOMOBILÍSTICA, REDES NEURAIS

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      ORTEGA, Antonio Vanderlei e SILVA, Ivan Nunes da. Neural network model for designing automotive devices using SMD LED. International Journal of Automotive Technology, v. 9, n. 2, p. 203-210, 2008Tradução . . Disponível em: https://doi.org/10.1007/s12239-008-0026-5. Acesso em: 16 ago. 2024.
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      Ortega, A. V., & Silva, I. N. da. (2008). Neural network model for designing automotive devices using SMD LED. International Journal of Automotive Technology, 9( 2), 203-210. doi:10.1007/s12239-008-0026-5
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      Ortega AV, Silva IN da. Neural network model for designing automotive devices using SMD LED [Internet]. International Journal of Automotive Technology. 2008 ; 9( 2): 203-210.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s12239-008-0026-5
    • Vancouver

      Ortega AV, Silva IN da. Neural network model for designing automotive devices using SMD LED [Internet]. International Journal of Automotive Technology. 2008 ; 9( 2): 203-210.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s12239-008-0026-5
  • Source: Lecture Notes in Computer Science. Conference titles: International Work-Conference on Artificial Neural Networks. Unidade: EESC

    Subjects: ALGORITMOS, LÓGICA FUZZY

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      SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-540-73007-1_49. Acesso em: 16 ago. 2024. , 2007
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      Silva, I. N. da, & Flauzino, R. A. (2007). Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-540-73007-1_49
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      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49
    • Vancouver

      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49
  • Source: Proceedings. Conference titles: International Conference on Neural Information Processing. Unidade: EESC

    Subjects: NEUROGENÉTICA, ALGORITMOS GENÉTICOS, OTIMIZAÇÃO NÃO LINEAR

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      BERTONI, Fabiana Cristina e SILVA, Ivan Nunes da. Neuro-genetic approach for solving constrained nonlinear optimization problems. 2006, Anais.. Heidelberg ; Berlin: Springer, 2006. . Acesso em: 16 ago. 2024.
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      Bertoni, F. C., & Silva, I. N. da. (2006). Neuro-genetic approach for solving constrained nonlinear optimization problems. In Proceedings. Heidelberg ; Berlin: Springer.
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      Bertoni FC, Silva IN da. Neuro-genetic approach for solving constrained nonlinear optimization problems. Proceedings. 2006 ;[citado 2024 ago. 16 ]
    • Vancouver

      Bertoni FC, Silva IN da. Neuro-genetic approach for solving constrained nonlinear optimization problems. Proceedings. 2006 ;[citado 2024 ago. 16 ]

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