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Filtros : "Applied Soft Computing" "Financiamento CAPES" Removido: "Financiamento CNPq" Limpar

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  • Artigo de periodico

    Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum (2023)

    Carvalho Júnior, Arnaldo de; Angélico, Bruno Augusto ; Justo Filho, João Francisco ; Oliveira, Alexandre Maniçoba de; Silva Filho, João Inácio da

    Source: Applied Soft Computing. Unidade: EP

    Subjects: LÓGICA PARACONSISTENTE, REDES NEURAIS, SISTEMAS DE CONTROLE, OTIMIZAÇÃO NÃO LINEAR

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    • ABNT

      CARVALHO JÚNIOR, Arnaldo de et al. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, v. 133, n. Ja 2023, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109927. Acesso em: 20 nov. 2025.

    • APA

      Carvalho Júnior, A. de, Angélico, B. A., Justo Filho, J. F., Oliveira, A. M. de, & Silva Filho, J. I. da. (2023). Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, 133( Ja 2023), 1-12. doi:10.1016/j.asoc.2022.109927

    • NLM

      Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927

    • Vancouver

      Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927

  • Artigo de periodico

    Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)

    Watanabe, Thomio ; Wolf, Denis Fernando

    Source: Applied Soft Computing. Unidade: ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS

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    • ABNT

      WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 20 nov. 2025.

    • APA

      Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851

    • NLM

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851

    • Vancouver

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
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