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  • Source: Neural Networks. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA

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      CARNEIRO, Murillo G. et al. Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2018.12.003. Acesso em: 16 nov. 2025.
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      Carneiro, M. G., Cheng, R., Zhao, L., & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. doi:10.1016/j.neunet.2018.12.003
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      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
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      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.11.001. Acesso em: 16 nov. 2025.
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      Silva, T. C., & Liang, Z. (2013). Detecting and preventing error propagation via competitive learning. Neural Networks, 41, 70-84. doi:10.1016/j.neunet.2012.11.001
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      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
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      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      XIAOMING, Liang e LIANG, Zhao. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. no 2012, p. 40-45, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.08.002. Acesso em: 16 nov. 2025.
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      Xiaoming, L., & Liang, Z. (2012). Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, no 2012, 40-45. doi:10.1016/j.neunet.2012.08.002
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      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
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      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
  • Source: Neural Networks. Unidade: ICMC

    Assunto: REDES NEURAIS

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      BREVE, Fabricio A. et al. Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, v. 22, n. 5-6, p. 728-737, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2009.06.027. Acesso em: 16 nov. 2025.
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      Breve, F. A., Zhao, L., Quiles, M. G., & Macau, E. E. N. (2009). Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, 22( 5-6), 728-737. doi:10.1016/j.neunet.2009.06.027
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      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
    • Vancouver

      Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
  • Source: Neural Networks. Unidade: EP

    Assunto: REDES NEURAIS

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      DEL MORAL HERNANDEZ, Emilio. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, v. 18, n. 5-6, p. 532-540, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2005.06.035. Acesso em: 16 nov. 2025.
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      Del Moral Hernandez, E. (2005). Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, 18( 5-6), 532-540. doi:10.1016/j.neunet.2005.06.035
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      Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
    • Vancouver

      Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
  • Source: Neural Networks. Unidade: FFCLRP

    Subjects: PSICOBIOLOGIA, PSICOLOGIA (MÉTODOS DE PESQUISA)

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      SALUM, Cristiane e CARVALHO, Sílvio Morato de e ROQUE-DA-SILVA, Antonio Carlos. Anxiety-like behavior in rats: a computational model. Neural Networks, v. 13, n. 1, p. 21-29, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0893-6080(99)00099-4. Acesso em: 16 nov. 2025.
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      Salum, C., Carvalho, S. M. de, & Roque-da-Silva, A. C. (2000). Anxiety-like behavior in rats: a computational model. Neural Networks, 13( 1), 21-29. doi:10.1016/s0893-6080(99)00099-4
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      Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4
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      Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4

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