Filtros : "REDES NEURAIS" "Canadá" Removido: "Gonzaga, Adilson" Limpar

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  • Source: JMIR Research Protocols. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECUPERAÇÃO DA INFORMAÇÃO, PROCESSAMENTO DE TEXTO, REVISÃO SISTEMÁTICA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      FERREIRA, Gabriel Ferraz et al. Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: protocol for an article selection model. JMIR Research Protocols, v. 10, n. 6, p. 1-6, 2021Tradução . . Disponível em: https://doi.org/10.2196/26448. Acesso em: 16 ago. 2024.
    • APA

      Ferreira, G. F., Quiles, M. G., Nazaré, T. S. de, Rezende, S. O., & Demarzo, M. M. P. (2021). Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: protocol for an article selection model. JMIR Research Protocols, 10( 6), 1-6. doi:10.2196/26448
    • NLM

      Ferreira GF, Quiles MG, Nazaré TS de, Rezende SO, Demarzo MMP. Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: protocol for an article selection model [Internet]. JMIR Research Protocols. 2021 ; 10( 6): 1-6.[citado 2024 ago. 16 ] Available from: https://doi.org/10.2196/26448
    • Vancouver

      Ferreira GF, Quiles MG, Nazaré TS de, Rezende SO, Demarzo MMP. Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: protocol for an article selection model [Internet]. JMIR Research Protocols. 2021 ; 10( 6): 1-6.[citado 2024 ago. 16 ] Available from: https://doi.org/10.2196/26448
  • Source: Canadian Journal of Chemical Engineering. Unidade: EP

    Subjects: REDES NEURAIS, USINAGEM

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      ASSENHAIMER, Cristhiane et al. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor. Canadian Journal of Chemical Engineering, v. 95, n. 12, p. 2341-2349, 2017Tradução . . Disponível em: https://doi.org/10.1002/cjce.22931. Acesso em: 16 ago. 2024.
    • APA

      Assenhaimer, C., Domingos, A. S., Glasse, B., Fritsching, U., & Guardani, R. (2017). Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor. Canadian Journal of Chemical Engineering, 95( 12), 2341-2349. doi:10.1002/cjce.22931
    • NLM

      Assenhaimer C, Domingos AS, Glasse B, Fritsching U, Guardani R. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor [Internet]. Canadian Journal of Chemical Engineering. 2017 ;95( 12): 2341-2349.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1002/cjce.22931
    • Vancouver

      Assenhaimer C, Domingos AS, Glasse B, Fritsching U, Guardani R. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor [Internet]. Canadian Journal of Chemical Engineering. 2017 ;95( 12): 2341-2349.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1002/cjce.22931
  • Source: Proceedings. Conference titles: International Conference on Applications of Statistics and Probability in Civil Engineering - ICASP. Unidade: EESC

    Subjects: REDES NEURAIS, ESTRUTURAS (CONFIABILIDADE)

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      KROETZ, Henrique Machado e BECK, André Teófilo. Performance of surrogate modeling techniques in structural reliability. 2015, Anais.. Vancouver, Canada: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2015. Disponível em: https://circle.ubc.ca/bitstream/handle/2429/53187/Paper_152_Kroetz.pdf?sequence=1. Acesso em: 16 ago. 2024.
    • APA

      Kroetz, H. M., & Beck, A. T. (2015). Performance of surrogate modeling techniques in structural reliability. In Proceedings. Vancouver, Canada: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://circle.ubc.ca/bitstream/handle/2429/53187/Paper_152_Kroetz.pdf?sequence=1
    • NLM

      Kroetz HM, Beck AT. Performance of surrogate modeling techniques in structural reliability [Internet]. Proceedings. 2015 ;[citado 2024 ago. 16 ] Available from: https://circle.ubc.ca/bitstream/handle/2429/53187/Paper_152_Kroetz.pdf?sequence=1
    • Vancouver

      Kroetz HM, Beck AT. Performance of surrogate modeling techniques in structural reliability [Internet]. Proceedings. 2015 ;[citado 2024 ago. 16 ] Available from: https://circle.ubc.ca/bitstream/handle/2429/53187/Paper_152_Kroetz.pdf?sequence=1
  • Source: The Canadian Journal of Chemical Engineering. Unidade: EP

    Subjects: POLIMERIZAÇÃO, REDES NEURAIS

    Acesso à fonteDOIHow to cite
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      ASSENHAIMER, Cristhiane et al. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks. The Canadian Journal of Chemical Engineering, v. 92, n. 2, p. 318-323, 2014Tradução . . Disponível em: https://doi.org/10.1002/cjce.21861. Acesso em: 16 ago. 2024.
    • APA

      Assenhaimer, C., Machado, L. J., Glasse, B., Fritsching, U., & Guardani, R. (2014). Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks. The Canadian Journal of Chemical Engineering, 92( 2), 318-323. doi:10.1002/cjce.21861
    • NLM

      Assenhaimer C, Machado LJ, Glasse B, Fritsching U, Guardani R. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks [Internet]. The Canadian Journal of Chemical Engineering. 2014 ;92( 2): 318-323.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1002/cjce.21861
    • Vancouver

      Assenhaimer C, Machado LJ, Glasse B, Fritsching U, Guardani R. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks [Internet]. The Canadian Journal of Chemical Engineering. 2014 ;92( 2): 318-323.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1002/cjce.21861
  • Source: Proceedings. Conference titles: Water Distribution Systems Analysis Conference. Unidade: EESC

    Subjects: ABASTECIMENTO DE ÁGUA (SISTEMAS), REDES NEURAIS, ALGORITMOS

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      ODAN, Frederico keizo e REIS, Luisa Fernanda Ribeiro. Metamodeling of a water supply system using a self-adaptive artificial neural network. 2012, Anais.. Adelaide: Engineers Australia, 2012. . Acesso em: 16 ago. 2024.
    • APA

      Odan, F. keizo, & Reis, L. F. R. (2012). Metamodeling of a water supply system using a self-adaptive artificial neural network. In Proceedings. Adelaide: Engineers Australia.
    • NLM

      Odan F keizo, Reis LFR. Metamodeling of a water supply system using a self-adaptive artificial neural network. Proceedings. 2012 ;[citado 2024 ago. 16 ]
    • Vancouver

      Odan F keizo, Reis LFR. Metamodeling of a water supply system using a self-adaptive artificial neural network. Proceedings. 2012 ;[citado 2024 ago. 16 ]
  • Source: IASTED 2004: proceedings.. Conference titles: IASTED International Conference on Neural Networks and Computational Intelligence. Unidade: EP

    Assunto: REDES NEURAIS

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      DEL MORAL HERNANDEZ, Emilio. Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements. 2004, Anais.. Calcary: IASTED, 2004. . Acesso em: 16 ago. 2024.
    • APA

      Del Moral Hernandez, E. (2004). Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements. In IASTED 2004: proceedings.. Calcary: IASTED.
    • NLM

      Del Moral Hernandez E. Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements. IASTED 2004: proceedings. 2004 ;[citado 2024 ago. 16 ]
    • Vancouver

      Del Moral Hernandez E. Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements. IASTED 2004: proceedings. 2004 ;[citado 2024 ago. 16 ]
  • Source: Proceedings. Conference titles: IEEE Power Engineering Society General Meeting. Unidade: EESC

    Assunto: REDES NEURAIS

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      SEGATTO, Ênio Carlos e COURY, Denis Vinicius. An alternative approach using pattern recognition for power transformer protection. 2003, Anais.. Toronto: IEEE, 2003. . Acesso em: 16 ago. 2024.
    • APA

      Segatto, Ê. C., & Coury, D. V. (2003). An alternative approach using pattern recognition for power transformer protection. In Proceedings. Toronto: IEEE.
    • NLM

      Segatto ÊC, Coury DV. An alternative approach using pattern recognition for power transformer protection. Proceedings. 2003 ;[citado 2024 ago. 16 ]
    • Vancouver

      Segatto ÊC, Coury DV. An alternative approach using pattern recognition for power transformer protection. Proceedings. 2003 ;[citado 2024 ago. 16 ]
  • Source: International Journal of Modelling and Simulation. Unidade: EP

    Subjects: REDES NEURAIS, MANCAIS

    PrivadoHow to cite
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      PADOVESE, Linilson Rodrigues. Comparison between probabilistic and multilayer perceptron neural networks for rolling bearing fault classification. International Journal of Modelling and Simulation, v. 22, n. 2, p. 97-103, 2002Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/30ebdd63-2ed6-4d19-96ed-d8ffeda4e42d/Padovese-2002-Comparison%20between%20probabilistic%20and%20multilayer%20perceptron%20neural%20networks.pdf. Acesso em: 16 ago. 2024.
    • APA

      Padovese, L. R. (2002). Comparison between probabilistic and multilayer perceptron neural networks for rolling bearing fault classification. International Journal of Modelling and Simulation, 22( 2), 97-103. Recuperado de https://repositorio.usp.br/directbitstream/30ebdd63-2ed6-4d19-96ed-d8ffeda4e42d/Padovese-2002-Comparison%20between%20probabilistic%20and%20multilayer%20perceptron%20neural%20networks.pdf
    • NLM

      Padovese LR. Comparison between probabilistic and multilayer perceptron neural networks for rolling bearing fault classification [Internet]. International Journal of Modelling and Simulation. 2002 ; 22( 2): 97-103.[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/30ebdd63-2ed6-4d19-96ed-d8ffeda4e42d/Padovese-2002-Comparison%20between%20probabilistic%20and%20multilayer%20perceptron%20neural%20networks.pdf
    • Vancouver

      Padovese LR. Comparison between probabilistic and multilayer perceptron neural networks for rolling bearing fault classification [Internet]. International Journal of Modelling and Simulation. 2002 ; 22( 2): 97-103.[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/30ebdd63-2ed6-4d19-96ed-d8ffeda4e42d/Padovese-2002-Comparison%20between%20probabilistic%20and%20multilayer%20perceptron%20neural%20networks.pdf
  • Source: CIMA'99: proceedings. Conference titles: International ICSC Congress on Computational Intelligence Methods and Applications. Unidade: EP

    Subjects: PROCESSOS QUÍMICOS (OTIMIZAÇÃO), INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS

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      BUELAU, Henrik C. et al. Application of neural networks to data from a melt crystallization process for the detection of outliers. 1999, Anais.. Alberta: ICSC, 1999. . Acesso em: 16 ago. 2024.
    • APA

      Buelau, H. C., Ulrich, J., Guardani, R., & Nascimento, C. A. O. do. (1999). Application of neural networks to data from a melt crystallization process for the detection of outliers. In CIMA'99: proceedings. Alberta: ICSC.
    • NLM

      Buelau HC, Ulrich J, Guardani R, Nascimento CAO do. Application of neural networks to data from a melt crystallization process for the detection of outliers. CIMA'99: proceedings. 1999 ;[citado 2024 ago. 16 ]
    • Vancouver

      Buelau HC, Ulrich J, Guardani R, Nascimento CAO do. Application of neural networks to data from a melt crystallization process for the detection of outliers. CIMA'99: proceedings. 1999 ;[citado 2024 ago. 16 ]

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