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Trabalho de evento-anais periodico
Local fuzzy pattern: a new way for micro-pattern analysis (2012)
Vieira, Raissa Tavares; Chierici, Carlos Eduardo de Oliveira; Ferraz, Carolina Toledo; Gonzaga, Adilson
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC
Subjects: IMAGEM DIGITAL (ANÁLISE), LÓGICA FUZZY
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares et al. Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_73. Acesso em: 04 out. 2024. , 2012
APA
Vieira, R. T., Chierici, C. E. de O., Ferraz, C. T., & Gonzaga, A. (2012). Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_73
NLM
Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
Vancouver
Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
Artigo de periodico
Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning (2010)
Barin, Alexandre; Pozzatti, Luis Felipe; Canha, Luciane Neves; Machado, Ricardo Quadros; Abaide, Alzenira da Rosa; Arend, Gustavo
Source: International Journal of Electrical Power and Energy Systems. Unidade: EESC
Subjects: LÓGICA FUZZY, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARIN, Alexandre et al. Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning. International Journal of Electrical Power and Energy Systems, v. 32, n. 10, p. 1157-1164, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2010.06.015. Acesso em: 04 out. 2024.
APA
Barin, A., Pozzatti, L. F., Canha, L. N., Machado, R. Q., Abaide, A. da R., & Arend, G. (2010). Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning. International Journal of Electrical Power and Energy Systems, 32( 10), 1157-1164. doi:10.1016/j.ijepes.2010.06.015
NLM
Barin A, Pozzatti LF, Canha LN, Machado RQ, Abaide A da R, Arend G. Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning [Internet]. International Journal of Electrical Power and Energy Systems. 2010 ; 32( 10): 1157-1164.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijepes.2010.06.015
Vancouver
Barin A, Pozzatti LF, Canha LN, Machado RQ, Abaide A da R, Arend G. Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning [Internet]. International Journal of Electrical Power and Energy Systems. 2010 ; 32( 10): 1157-1164.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijepes.2010.06.015
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: 04 out. 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 out. 04 ] 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 out. 04 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49

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