Filtros : "REDES NEURAIS" "Alemanha" "EP" Removidos: "IQ011" "ENGENHARIA NAVAL E OCEÂNICA" "ug" "Financiamento FAPERGS" "International Mineral Processing Congress" Limpar

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  • Source: Carbonates and Evaporites. Unidade: EP

    Subjects: REDES NEURAIS, ALGORITMOS

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      GORLA, Felipe Ferreira Luiz e CARNEIRO, Cleyton de Carvalho. Electrofacies clustering and classification from the Ariri Formation in Santos Basin (southeastern offshore Brazil) involving unsupervised learning algorithms. Carbonates and Evaporites, p. 38-63, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13146-023-00889-3. Acesso em: 09 out. 2024.
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      Gorla, F. F. L., & Carneiro, C. de C. (2023). Electrofacies clustering and classification from the Ariri Formation in Santos Basin (southeastern offshore Brazil) involving unsupervised learning algorithms. Carbonates and Evaporites, 38-63. doi:10.1007/s13146-023-00889-3
    • NLM

      Gorla FFL, Carneiro C de C. Electrofacies clustering and classification from the Ariri Formation in Santos Basin (southeastern offshore Brazil) involving unsupervised learning algorithms. [Internet]. Carbonates and Evaporites. 2023 ; 38-63.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s13146-023-00889-3
    • Vancouver

      Gorla FFL, Carneiro C de C. Electrofacies clustering and classification from the Ariri Formation in Santos Basin (southeastern offshore Brazil) involving unsupervised learning algorithms. [Internet]. Carbonates and Evaporites. 2023 ; 38-63.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s13146-023-00889-3
  • Source: SDEWES LA. Conference titles: Conference on Sustainable Development of Energy, Water and Environment Systems. Unidade: EP

    Subjects: REDES NEURAIS, BIOMASSA, GÁS NATURAL

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      GARONA, Higor Azevedo et al. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. 2020, Anais.. Cologne: Escola Politécnica, Universidade de São Paulo, 2020. . Acesso em: 09 out. 2024.
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      Garona, H. A., Cavalcanti, F. M., Abreu, T. F. de, Schmal, M., & Alves, R. M. de B. (2020). Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. In SDEWES LA. Cologne: Escola Politécnica, Universidade de São Paulo.
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      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. SDEWES LA. 2020 ;[citado 2024 out. 09 ]
    • Vancouver

      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. SDEWES LA. 2020 ;[citado 2024 out. 09 ]
  • Source: Journal of Control, Automation and Electrical Systems. Unidades: ICMC, EESC, EP

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES NEURAIS, SISTEMAS ESPECIALISTAS

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      SPATTI, Danilo Hernane et al. Expert system for an optimized asset management in electric power transmission systems. Journal of Control, Automation and Electrical Systems, v. 30, n. 3, p. 434-440, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00451-4. Acesso em: 09 out. 2024.
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      Spatti, D. H., Liboni, L. H. B., Flauzino, R. A., Bossolan, R. P., & Vitti, B. C. (2019). Expert system for an optimized asset management in electric power transmission systems. Journal of Control, Automation and Electrical Systems, 30( 3), 434-440. doi:10.1007/s40313-019-00451-4
    • NLM

      Spatti DH, Liboni LHB, Flauzino RA, Bossolan RP, Vitti BC. Expert system for an optimized asset management in electric power transmission systems [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 434-440.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s40313-019-00451-4
    • Vancouver

      Spatti DH, Liboni LHB, Flauzino RA, Bossolan RP, Vitti BC. Expert system for an optimized asset management in electric power transmission systems [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 434-440.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s40313-019-00451-4
  • Source: Bioprocess and Biosystems Engineering. Unidade: EP

    Subjects: REDES NEURAIS, ESPECTROSCOPIA, REATORES BIOQUÍMICOS

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      TAKAHASHI, Maria Beatriz et al. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes. Bioprocess and Biosystems Engineering, v. 38, p. 1045-1054, 2015Tradução . . Disponível em: https://doi.org/10.1007/s00449-014-1346-7. Acesso em: 09 out. 2024.
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      Takahashi, M. B., Leme, J., Caricati, C. P., Tonso, A., Fernández Núñez, E. G., & Rocha, J. C. (2015). Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes. Bioprocess and Biosystems Engineering, 38, 1045-1054. doi:10.1007/s00449-014-1346-7
    • NLM

      Takahashi MB, Leme J, Caricati CP, Tonso A, Fernández Núñez EG, Rocha JC. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes [Internet]. Bioprocess and Biosystems Engineering. 2015 ; 38 1045-1054.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s00449-014-1346-7
    • Vancouver

      Takahashi MB, Leme J, Caricati CP, Tonso A, Fernández Núñez EG, Rocha JC. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes [Internet]. Bioprocess and Biosystems Engineering. 2015 ; 38 1045-1054.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s00449-014-1346-7
  • Source: Chemical Engineering Technology. Unidade: EP

    Subjects: REDES NEURAIS, SIMULAÇÃO (APRENDIZAGEM)

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      NOGUEIRA, Kátia Ribeiro Byczyk et al. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution. Chemical Engineering Technology, v. 35, n. 12, p. 2125–2132, 2012Tradução . . Disponível em: https://doi.org/10.1002/ceat.201200269. Acesso em: 09 out. 2024.
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      Nogueira, K. R. B., Nascimento, C. A. O. do, Guardani, R., & Teixeira, A. C. S. C. (2012). Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution. Chemical Engineering Technology, 35( 12), 2125–2132. doi:10.1002/ceat.201200269
    • NLM

      Nogueira KRB, Nascimento CAO do, Guardani R, Teixeira ACSC. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution [Internet]. Chemical Engineering Technology. 2012 ;35( 12): 2125–2132.[citado 2024 out. 09 ] Available from: https://doi.org/10.1002/ceat.201200269
    • Vancouver

      Nogueira KRB, Nascimento CAO do, Guardani R, Teixeira ACSC. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution [Internet]. Chemical Engineering Technology. 2012 ;35( 12): 2125–2132.[citado 2024 out. 09 ] Available from: https://doi.org/10.1002/ceat.201200269
  • Source: Proceedings: ISWC. Conference titles: International Workshop on Uncertainty Reasoning for the Semantic Web. Unidade: EP

    Subjects: REDES NEURAIS, ROBÓTICA, PROBABILIDADE

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      REVOREDO, Kate e LUNA, José Eduardo Ochoa e COZMAN, Fabio Gagliardi. Semantic link prediction through probabilistic description logics. 2011, Anais.. Heidelberg: Springer, 2011. Disponível em: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf. Acesso em: 09 out. 2024.
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      Revoredo, K., Luna, J. E. O., & Cozman, F. G. (2011). Semantic link prediction through probabilistic description logics. In Proceedings: ISWC. Heidelberg: Springer. Recuperado de https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
    • NLM

      Revoredo K, Luna JEO, Cozman FG. Semantic link prediction through probabilistic description logics [Internet]. Proceedings: ISWC. 2011 ;[citado 2024 out. 09 ] Available from: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
    • Vancouver

      Revoredo K, Luna JEO, Cozman FG. Semantic link prediction through probabilistic description logics [Internet]. Proceedings: ISWC. 2011 ;[citado 2024 out. 09 ] Available from: https://repositorio.usp.br/directbitstream/34f4fdab-f63d-42c3-8817-e7d698867017/Cozman-2011-Semantic%20link%20prediction%20through%20probabilistic%20ok.pdf
  • Source: Computational methods in neural modeling.. Unidade: EP

    Subjects: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL

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      OLIVEIRA, Clayton Silva e DEL MORAL HERNANDEZ, Emilio. MPL+H: a hybrid neural architecture formed by the interaction of hopfield and multi-layer perceptron neural networks. Computational methods in neural modeling. Tradução . Berlin: Springer, 2003. . . Acesso em: 09 out. 2024.
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      Oliveira, C. S., & Del Moral Hernandez, E. (2003). MPL+H: a hybrid neural architecture formed by the interaction of hopfield and multi-layer perceptron neural networks. In Computational methods in neural modeling.. Berlin: Springer.
    • NLM

      Oliveira CS, Del Moral Hernandez E. MPL+H: a hybrid neural architecture formed by the interaction of hopfield and multi-layer perceptron neural networks. In: Computational methods in neural modeling. Berlin: Springer; 2003. [citado 2024 out. 09 ]
    • Vancouver

      Oliveira CS, Del Moral Hernandez E. MPL+H: a hybrid neural architecture formed by the interaction of hopfield and multi-layer perceptron neural networks. In: Computational methods in neural modeling. Berlin: Springer; 2003. [citado 2024 out. 09 ]
  • Source: Chemical Engineering and Technology. Unidade: EP

    Subjects: CRISTALIZAÇÃO (PROCESSOS;MONITORAMENTO), INTELIGÊNCIA ARTIFICIAL, LASER, REDES NEURAIS

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      GIULIETTI, Marco et al. In-line monitoring of crystallization processes using a laser reflection sensor and a neural network model. Chemical Engineering and Technology, v. 26, n. 3, p. 267-272, 2003Tradução . . Acesso em: 09 out. 2024.
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      Giulietti, M., Guardani, R., Nascimento, C. A. O. do, & Arntz, B. (2003). In-line monitoring of crystallization processes using a laser reflection sensor and a neural network model. Chemical Engineering and Technology, 26( 3), 267-272.
    • NLM

      Giulietti M, Guardani R, Nascimento CAO do, Arntz B. In-line monitoring of crystallization processes using a laser reflection sensor and a neural network model. Chemical Engineering and Technology. 2003 ; 26( 3): 267-272.[citado 2024 out. 09 ]
    • Vancouver

      Giulietti M, Guardani R, Nascimento CAO do, Arntz B. In-line monitoring of crystallization processes using a laser reflection sensor and a neural network model. Chemical Engineering and Technology. 2003 ; 26( 3): 267-272.[citado 2024 out. 09 ]
  • Source: Connectionist models of neurons, learning processes, and artificial intelligence. Unidade: EP

    Assunto: REDES NEURAIS

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      DEL MORAL HERNANDEZ, Emilio. Studying neural networks of bifurcating recursive processing elements - quantitative methods for architecture design and performance analysis. Connectionist models of neurons, learning processes, and artificial intelligence. Tradução . Berlin: Springer, 2001. . . Acesso em: 09 out. 2024.
    • APA

      Del Moral Hernandez, E. (2001). Studying neural networks of bifurcating recursive processing elements - quantitative methods for architecture design and performance analysis. In Connectionist models of neurons, learning processes, and artificial intelligence. Berlin: Springer.
    • NLM

      Del Moral Hernandez E. Studying neural networks of bifurcating recursive processing elements - quantitative methods for architecture design and performance analysis. In: Connectionist models of neurons, learning processes, and artificial intelligence. Berlin: Springer; 2001. [citado 2024 out. 09 ]
    • Vancouver

      Del Moral Hernandez E. Studying neural networks of bifurcating recursive processing elements - quantitative methods for architecture design and performance analysis. In: Connectionist models of neurons, learning processes, and artificial intelligence. Berlin: Springer; 2001. [citado 2024 out. 09 ]
  • Source: Machine learning and data mining in pattern recognition: proceedings. Conference titles: International Workshop MLDM'99. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, REDES NEURAIS

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      MILANOVA, Mariofanna et al. Applications of cellular neural network for shape from shading problem. 1999, Anais.. Leipzig: Springer, 1999. Disponível em: https://doi.org/10.1007/3-540-48097-8. Acesso em: 09 out. 2024.
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      Milanova, M., Almeida, P. E. M., Okamoto Junior, J., & Simões, M. G. (1999). Applications of cellular neural network for shape from shading problem. In Machine learning and data mining in pattern recognition: proceedings. Leipzig: Springer. doi:10.1007/3-540-48097-8
    • NLM

      Milanova M, Almeida PEM, Okamoto Junior J, Simões MG. Applications of cellular neural network for shape from shading problem [Internet]. Machine learning and data mining in pattern recognition: proceedings. 1999 ;[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/3-540-48097-8
    • Vancouver

      Milanova M, Almeida PEM, Okamoto Junior J, Simões MG. Applications of cellular neural network for shape from shading problem [Internet]. Machine learning and data mining in pattern recognition: proceedings. 1999 ;[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/3-540-48097-8
  • Source: Biological and artificial computation: from neuroscience to technology. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS

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      FARHAT, N H e DEL MORAL HERNANDEZ, Emilio e LEE, Gee-Hyuk. Strategies for autonomous adaptation and learning in dynamical networks. Biological and artificial computation: from neuroscience to technology. Tradução . Berlin: Springer, 1997. . . Acesso em: 09 out. 2024.
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      Farhat, N. H., Del Moral Hernandez, E., & Lee, G. -H. (1997). Strategies for autonomous adaptation and learning in dynamical networks. In Biological and artificial computation: from neuroscience to technology. Berlin: Springer.
    • NLM

      Farhat NH, Del Moral Hernandez E, Lee G-H. Strategies for autonomous adaptation and learning in dynamical networks. In: Biological and artificial computation: from neuroscience to technology. Berlin: Springer; 1997. [citado 2024 out. 09 ]
    • Vancouver

      Farhat NH, Del Moral Hernandez E, Lee G-H. Strategies for autonomous adaptation and learning in dynamical networks. In: Biological and artificial computation: from neuroscience to technology. Berlin: Springer; 1997. [citado 2024 out. 09 ]
  • Source: From natural to artificial neural computation. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS

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      FARHAT, N H e DEL MORAL HERNANDEZ, Emilio. Logistic networks with DNA-Like encoding and interactions. From natural to artificial neural computation. Tradução . Berlin: Springer, 1995. . . Acesso em: 09 out. 2024.
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      Farhat, N. H., & Del Moral Hernandez, E. (1995). Logistic networks with DNA-Like encoding and interactions. In From natural to artificial neural computation. Berlin: Springer.
    • NLM

      Farhat NH, Del Moral Hernandez E. Logistic networks with DNA-Like encoding and interactions. In: From natural to artificial neural computation. Berlin: Springer; 1995. [citado 2024 out. 09 ]
    • Vancouver

      Farhat NH, Del Moral Hernandez E. Logistic networks with DNA-Like encoding and interactions. In: From natural to artificial neural computation. Berlin: Springer; 1995. [citado 2024 out. 09 ]

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