Optimized artificial neural network for biosignals classification using genetic algorithm (2019)
Lima, Aron A. M; Barros, Fábio K. H. de; Yoshizumi, Victor H; Spatti, Danilo Hernane 
; Dajer, Maria E
Fonte: Journal of Control, Automation and Electrical Systems. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, ALGORITMOS GENÉTICOS, TOPOLOGIA EM COMPUTAÇÃO, SINAIS BIOMÉDICOS
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ABNT
LIMA, Aron A. M et al. Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, v. 30, n. 3, p. 371-379, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00454-1. Acesso em: 23 nov. 2025.APA
Lima, A. A. M., Barros, F. K. H. de, Yoshizumi, V. H., Spatti, D. H., & Dajer, M. E. (2019). Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, 30( 3), 371-379. doi:10.1007/s40313-019-00454-1NLM
Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s40313-019-00454-1Vancouver
Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s40313-019-00454-1
