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Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition (2020)
Miranda, Gisele H. B.; Baetens, Jan M.; Daly, Aisling J.; Bruno, Odemir Martinez ; Baets, Bernard De
Source: Abstract book. Conference titles: International Conference on Cellular Automata for Research and Industry - ACRI. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Gisele H. B. et al. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. 2020, Anais.. Lodz: University of Lodz, 2020. Disponível em: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf. Acesso em: 18 set. 2024.
APA
Miranda, G. H. B., Baetens, J. M., Daly, A. J., Bruno, O. M., & Baets, B. D. (2020). Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. In Abstract book. Lodz: University of Lodz. Recuperado de http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
NLM
Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Abstract book. 2020 ;[citado 2024 set. 18 ] Available from: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
Vancouver
Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Abstract book. 2020 ;[citado 2024 set. 18 ] Available from: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
Artigo de periodico
Application of multiple regression and neural networks to synthesize a model for peen forming process planning (2010)
Delijaicov, Sergio ; Fleury, Agenor de Toledo ; Martins, Flavius Portella Ribas
Source: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DELIJAICOV, Sergio e FLEURY, Agenor de Toledo e MARTINS, Flavius Portella Ribas. Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, v. 43, n. 2, p. 651-656, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf. Acesso em: 18 set. 2024.
APA
Delijaicov, S., Fleury, A. de T., & Martins, F. P. R. (2010). Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 651-656. Recuperado de https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
NLM
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 set. 18 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
Vancouver
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 set. 18 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
Artigo de periodico
Measurement uncertainty contribution to the MLP neural network learning algorithm applied to aerodynamic external balance calibration curve fitting (2007)
Barbosa, Itamar Magno; Del Moral Hernandez, Emilio ; Reis, Maria Luisa Colluci da Costa; Mello, Olympio Achilles de Faria
Source: Metrology and Measurement Systems. Unidade: EP
Subjects: REDES NEURAIS, TÚNEIS DE VENTO (TESTES)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, Itamar Magno et al. Measurement uncertainty contribution to the MLP neural network learning algorithm applied to aerodynamic external balance calibration curve fitting. Metrology and Measurement Systems, v. 14, n. 1, 2007Tradução . . Acesso em: 18 set. 2024.
APA
Barbosa, I. M., Del Moral Hernandez, E., Reis, M. L. C. da C., & Mello, O. A. de F. (2007). Measurement uncertainty contribution to the MLP neural network learning algorithm applied to aerodynamic external balance calibration curve fitting. Metrology and Measurement Systems, 14( 1).
NLM
Barbosa IM, Del Moral Hernandez E, Reis MLC da C, Mello OA de F. Measurement uncertainty contribution to the MLP neural network learning algorithm applied to aerodynamic external balance calibration curve fitting. Metrology and Measurement Systems. 2007 ;14( 1):[citado 2024 set. 18 ]
Vancouver
Barbosa IM, Del Moral Hernandez E, Reis MLC da C, Mello OA de F. Measurement uncertainty contribution to the MLP neural network learning algorithm applied to aerodynamic external balance calibration curve fitting. Metrology and Measurement Systems. 2007 ;14( 1):[citado 2024 set. 18 ]

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