Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Danilo Souza Duarte"'
Autor:
Danilo Souza Duarte, Roberto Célio Limão de Oliveira, Lidio Mauro Lima de Campos, Jherson Haryson Almeida Pereira
Publikováno v:
Learning and Nonlinear Models. 18:40-55
The aim of this paper is to introduce a biologically inspired approach that can automatically generate Deep Neural networks with good prediction capacity, smaller error and large tolerance to noises. In order to do this, three biological paradigms we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eda705568461de8b9953759d7b00a33
https://doi.org/10.21528/lnlm-vol18-no2-art4
https://doi.org/10.21528/lnlm-vol18-no2-art4
Publikováno v:
Revista Gestão & Tecnologia. 20:59-79
As Redes Neurais Artificiais (RNAs) tem sido utilizadas nas soluções de variados problemas, dentre eles, os que envolvem tomada de decisões. Neste escopo, o objetivo desta pesquisa é apresentar uma ferramenta que dê suporte ao processo de decis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50a61b2d50b66e91f933df5f797a69a3
https://doi.org/10.20397/2177-6652/2020.v20i3.1709
https://doi.org/10.20397/2177-6652/2020.v20i3.1709
Autor:
Lidio Mauro Lima de Campos, Jherson Haryson Almeida Pereira, Roberto Célio Limão de Oliveira, Danilo Souza Duarte
Publikováno v:
IJCNN
The aim of this paper is to intoduce a biologically insipired methodology for energy price prediction multi-step ahead. The system combines a Genetic Algorithm (GA), Lindenmayer Systems, and Deep Neural Networks (DNNs). In the final section of the pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce29c5803e34530ee7f3fe2f4c8cf9a
https://doi.org/10.1109/ijcnn48605.2020.9207679
https://doi.org/10.1109/ijcnn48605.2020.9207679
Autor:
Danilo Souza Duarte, Jherson Haryson Almeida Pereira, Lidio Mauro Lima de Campos, Roberto Célio Limão de Oliveira
Publikováno v:
Anais do 14. Congresso Brasileiro de Inteligência Computacional.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f84a2823417950dde720202892ea08
https://doi.org/10.21528/cbic2019-25
https://doi.org/10.21528/cbic2019-25