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Ricardo Leonardo Rovai

Dados Biográficos

ID3565060
NOMERicardo Leonardo Rovai
PRENOMESRicardo Leonardo
SOBRENOMERovai
ASSINATURAROVAI R L
AFILIAÇÕESUniversidade Nove de Julho
ORCID0000-0001-9603-5096
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H0
  • Demand Forecasting model based on artificial neural networks for Passenger Transportation Projects

    Open Access•Victor Silva Vasconcelos, Filipe Quevedo-Silva et al.•ARTICLE•urbe Revista Brasileira de Gestão…•2021•Referências: 20

    Whereas passenger demand is one of the main risks in passenger transport infrastructure projects on track, this paper aims to propose a demand forecasting model based on artificial neural networks (ANN) in order to contribute to the project management still in its early planning stages. For this, the design of ex post facto type was used in a descriptive research with quantitative approach, where the research group was composed by subway and trai…

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  • Demand Forecasting model based on artificial neural networks for Passenger Transportation Projects

    Open Access•Victor Silva Vasconcelos, Filipe Quevedo-Silva et al.•ARTICLE•urbe Revista Brasileira de Gestão…•2021•Referências: 20

    Whereas passenger demand is one of the main risks in passenger transport infrastructure projects on track, this paper aims to propose a demand forecasting model based on artificial neural networks (ANN) in order to contribute to the project management still in its early planning stages. For this, the design of ex post facto type was used in a descriptive research with quantitative approach, where the research group was composed by subway and trai…

Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Computer Science (1 obra) · Demand forecasting (1 obra) · Economics (1 obra) · Engineering (1 obra) · Geography (1 obra) · Metropolitan area (1 obra) · Operations research (1 obra) · Per capita (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae