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Trabalho de evento-anais periodico
On the application of bio-inspired algorithms in timetabling problem (2012)
Francisco, Daniela Oliveira; Silva, Ivan Nunes da
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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ABNT
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: 29 jul. 2024. , 2012
APA
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
NLM
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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
Vancouver
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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
Trabalho de evento-anais periodico
Neural network based approach for automotive brake light parameter estimation (2012)
Ortega, Antonio Vanderlei; Silva, Ivan Nunes da
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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ABNT
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: 29 jul. 2024. , 2012
APA
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
NLM
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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
Vancouver
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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
Trabalho de evento-anais periodico
Neurogenetic approach for solving dynamic programming problems (2010)
Pires, Matheus Giovanni; Silva, Ivan Nunes da
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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ABNT
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: 29 jul. 2024. , 2010
APA
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
NLM
Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2024 jul. 29 ] 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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
Trabalho de evento-anais periodico
Efficient parametric adjustment of fuzzy inference system using error backpropagation method (2009)
Silva, Ivan Nunes da; Flauzino, Rogério Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: EESC
Subjects: LÓGICA FUZZY, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 29 jul. 2024. , 2009
APA
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
NLM
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 jul. 29 ] 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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
Trabalho de evento-anais periodico
Hybrid Hopfield architecture for solving nonlinear programming problems (2009)
Bertoni, Fabiana Cristina; Silva, Ivan Nunes da
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 29 jul. 2024. , 2009
APA
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
NLM
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 jul. 29 ] 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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
Trabalho de evento-anais periodico
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization (2007)
Silva, Ivan Nunes da; Flauzino, Rogério Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Work-Conference on Artificial Neural Networks. Unidade: EESC
Subjects: ALGORITMOS, LÓGICA FUZZY
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 29 jul. 2024. , 2007
APA
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
NLM
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 jul. 29 ] 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 jul. 29 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49

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