Filtros : "IEEE Transactions on Neural Networks and Learning Systems" "INTELIGÊNCIA ARTIFICIAL" Limpar

Filtros



Refine with date range


  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      COVÕES, Thiago F e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. ja 2013, p. 164-169, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2227064. Acesso em: 30 nov. 2025.
    • APA

      Covões, T. F., Hruschka, E. R., & Ghosh, J. (2013). Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, 24( ja 2013), 164-169. doi:10.1109/TNNLS.2012.2227064
    • NLM

      Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
    • Vancouver

      Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      XIAOMING, Liang e LIANG, Zhao. Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. 8, p. 1339-1345, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2013.2254126. Acesso em: 30 nov. 2025.
    • APA

      Xiaoming, L., & Liang, Z. (2013). Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, 24( 8), 1339-1345. doi:10.1109/TNNLS.2013.2254126
    • NLM

      Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
    • Vancouver

      Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Thiago Christiano e LIANG, Zhao. Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. ju 2012, p. 954-970, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2195027. Acesso em: 30 nov. 2025.
    • APA

      Silva, T. C., & Liang, Z. (2012). Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, 23( ju 2012), 954-970. doi:10.1109/TNNLS.2012.2195027
    • NLM

      Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
    • Vancouver

      Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      XIAOMING, Liang e LIANG, Zhao e ZONGHUA, Liu. Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 9, p. 1506-1512, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2204772. Acesso em: 30 nov. 2025.
    • APA

      Xiaoming, L., Liang, Z., & Zonghua, L. (2012). Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, 23( 9), 1506-1512. doi:10.1109/TNNLS.2012.2204772
    • NLM

      Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
    • Vancouver

      Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Thiago Christiano e LIANG, Zhao. Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 451-466, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181413. Acesso em: 30 nov. 2025.
    • APA

      Silva, T. C., & Liang, Z. (2012). Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 451-466. doi:10.1109/TNNLS.2011.2181413
    • NLM

      Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
    • Vancouver

      Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Thiago Christiano e LIANG, Zhao. Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 385-398, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181866. Acesso em: 30 nov. 2025.
    • APA

      Silva, T. C., & Liang, Z. (2012). Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 385-398. doi:10.1109/TNNLS.2011.2181866
    • NLM

      Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866
    • Vancouver

      Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025