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Artigo de periodico
Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction (2021)
Maciel, Leandro dos Santos ; Ballini, Rosangela ; Gomide, Fernando
Source: Neural Computing and Applications. Unidade: FEA
Subjects: APRENDIZADO COMPUTACIONAL, LÓGICA FUZZY, MOEDA (ECONOMIA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACIEL, Leandro dos Santos e BALLINI, Rosangela e GOMIDE, Fernando. Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction. Neural Computing and Applications, v. 1, p. 1, 2021Tradução . . Disponível em: https://link.springer.com/content/pdf/10.1007/s00521-021-06263-5.pdf. Acesso em: 30 jan. 2023.
APA
Maciel, L. dos S., Ballini, R., & Gomide, F. (2021). Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction. Neural Computing and Applications, 1, 1. doi:10.1007/s00521-021-06263-5
NLM
Maciel L dos S, Ballini R, Gomide F. Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction [Internet]. Neural Computing and Applications. 2021 ; 1 1.[citado 2023 jan. 30 ] Available from: https://link.springer.com/content/pdf/10.1007/s00521-021-06263-5.pdf
Vancouver
Maciel L dos S, Ballini R, Gomide F. Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction [Internet]. Neural Computing and Applications. 2021 ; 1 1.[citado 2023 jan. 30 ] Available from: https://link.springer.com/content/pdf/10.1007/s00521-021-06263-5.pdf
Trabalho de evento
Adaptive interval fuzzy modeling from stream data and application in cryptocurrencies forecasting (2020)
Maciel, Leandro dos Santos ; Ballini, Rosangela; Gomide, Fernando
Conference titles: Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. Unidade: FEA
Subjects: DINHEIRO ELETRÔNICO, ECONOMIA MATEMÁTICA, LÓGICA FUZZY
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACIEL, Leandro dos Santos e BALLINI, Rosangela e GOMIDE, Fernando. Adaptive interval fuzzy modeling from stream data and application in cryptocurrencies forecasting. 2020, Anais.. California: NAFIPS, 2020. . Acesso em: 30 jan. 2023.
APA
Maciel, L. dos S., Ballini, R., & Gomide, F. (2020). Adaptive interval fuzzy modeling from stream data and application in cryptocurrencies forecasting. In . California: NAFIPS.
NLM
Maciel L dos S, Ballini R, Gomide F. Adaptive interval fuzzy modeling from stream data and application in cryptocurrencies forecasting. 2020 ;[citado 2023 jan. 30 ]
Vancouver
Maciel L dos S, Ballini R, Gomide F. Adaptive interval fuzzy modeling from stream data and application in cryptocurrencies forecasting. 2020 ;[citado 2023 jan. 30 ]
Trabalho de evento
A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting (2020)
Maciel, Leandro dos Santos ; Ballini, Rosangela; Gomide, Fernando
Source: Proceedings. Conference titles: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - IPMU. Unidade: FEA
Subjects: FINANÇAS, TAXA DE CÂMBIO, ANÁLISE DE SÉRIES TEMPORAIS, ECONOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACIEL, Leandro dos Santos e BALLINI, Rosangela e GOMIDE, Fernando. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://link.springer.com/chapter/10.1007/978-3-030-50153-2_4. Acesso em: 30 jan. 2023.
APA
Maciel, L. dos S., Ballini, R., & Gomide, F. (2020). A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-50153-2_4
NLM
Maciel L dos S, Ballini R, Gomide F. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting [Internet]. Proceedings. 2020 ;[citado 2023 jan. 30 ] Available from: https://link.springer.com/chapter/10.1007/978-3-030-50153-2_4
Vancouver
Maciel L dos S, Ballini R, Gomide F. A fuzzy model for interval-valued time series modeling and application in exchange rate forecasting [Internet]. Proceedings. 2020 ;[citado 2023 jan. 30 ] Available from: https://link.springer.com/chapter/10.1007/978-3-030-50153-2_4
Artigo de periodico
A biologically inspired neural networks for dynamic programming (2001)
Romero, Roseli Aparecida Francelin; Kacprzyk, Janusz; Gomide, Fernando
Source: International Journal of Neural Systems. Unidade: ICMC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMERO, Roseli Aparecida Francelin e KACPRZYK, Janusz e GOMIDE, Fernando. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems, v. 11, n. 6, p. 561-572, 2001Tradução . . Acesso em: 30 jan. 2023.
APA
Romero, R. A. F., Kacprzyk, J., & Gomide, F. (2001). A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems, 11( 6), 561-572.
NLM
Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems. 2001 ; 11( 6): 561-572.[citado 2023 jan. 30 ]
Vancouver
Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems. 2001 ; 11( 6): 561-572.[citado 2023 jan. 30 ]
Artigo de periodico
Neural network based algorithm for dynamic system optimization (2001)
Romero, Roseli Aparecida Francelin; Kacprzyk, Janusz; Gomide, Fernando
Source: Asian Journal of Control. Unidade: ICMC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMERO, Roseli Aparecida Francelin e KACPRZYK, Janusz e GOMIDE, Fernando. Neural network based algorithm for dynamic system optimization. Asian Journal of Control, v. 3, n. 2, p. 131-142, 2001Tradução . . Acesso em: 30 jan. 2023.
APA
Romero, R. A. F., Kacprzyk, J., & Gomide, F. (2001). Neural network based algorithm for dynamic system optimization. Asian Journal of Control, 3( 2), 131-142.
NLM
Romero RAF, Kacprzyk J, Gomide F. Neural network based algorithm for dynamic system optimization. Asian Journal of Control. 2001 ; 3( 2): 131-142.[citado 2023 jan. 30 ]
Vancouver
Romero RAF, Kacprzyk J, Gomide F. Neural network based algorithm for dynamic system optimization. Asian Journal of Control. 2001 ; 3( 2): 131-142.[citado 2023 jan. 30 ]
Artigo de periodico
Learning algorithms for a class neurofuzzy network and applications (2000)
Ballini, Rosangela; Soares, Secundino; Gomide, Fernando; Figueiredo, Mauricio; Andrade Filho, Marinho Gomes de
Source: Cadernos de Computação. Unidade: ICMC
Assunto: PESQUISA OPERACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BALLINI, Rosangela et al. Learning algorithms for a class neurofuzzy network and applications. Cadernos de Computação, v. 01, n. 01, p. 233-251, 2000Tradução . . Acesso em: 30 jan. 2023.
APA
Ballini, R., Soares, S., Gomide, F., Figueiredo, M., & Andrade Filho, M. G. de. (2000). Learning algorithms for a class neurofuzzy network and applications. Cadernos de Computação, 01( 01), 233-251.
NLM
Ballini R, Soares S, Gomide F, Figueiredo M, Andrade Filho MG de. Learning algorithms for a class neurofuzzy network and applications. Cadernos de Computação. 2000 ; 01( 01): 233-251.[citado 2023 jan. 30 ]
Vancouver
Ballini R, Soares S, Gomide F, Figueiredo M, Andrade Filho MG de. Learning algorithms for a class neurofuzzy network and applications. Cadernos de Computação. 2000 ; 01( 01): 233-251.[citado 2023 jan. 30 ]
Trabalho de evento
A biologically inspired neural network for dynamic system optimization (1999)
Romero, Roseli Aparecida Francelin; Kacprzyk, Janusz; Gomide, Fernando
Source: Proceedings. Conference titles: International Conference on Neural Information Processing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMERO, Roseli Aparecida Francelin e KACPRZYK, Janusz e GOMIDE, Fernando. A biologically inspired neural network for dynamic system optimization. 1999, Anais.. Perth: IEEE, 1999. . Acesso em: 30 jan. 2023.
APA
Romero, R. A. F., Kacprzyk, J., & Gomide, F. (1999). A biologically inspired neural network for dynamic system optimization. In Proceedings. Perth: IEEE.
NLM
Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural network for dynamic system optimization. Proceedings. 1999 ;[citado 2023 jan. 30 ]
Vancouver
Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural network for dynamic system optimization. Proceedings. 1999 ;[citado 2023 jan. 30 ]

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