%0 Journal Article
%4 sid.inpe.br/mtc-m21c/2020/03.05.13.12
%2 sid.inpe.br/mtc-m21c/2020/03.05.13.12.38
%@issn 2359-0793
%T Forecasting endogenous and exogenous time series generated by P-model Aagorithm using the Keras machine learning API
%D 2020
%9 conference paper
%A Ibanez, Marilyn Minicucci,
%A Rosa, Reinaldo Roberto,
%A Guimarães, Lamartine Nogueira Frutuoso,
%A Joshi, Neelakshi,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto de Estudos Avançados (IAE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress 1marilynminicucciibanez1@gmail.com
%@electronicmailaddress reinaldo.rosa@inpe.br
%@electronicmailaddress lamar.guima@gmail.com
%@electronicmailaddress neelakshij@gmail.com
%B Proceedings Series of the Brazilian Society of Computational and Applied Mathematics
%V 7
%N 1
%P e10159
%K P-model Algorithm, Multiplicative Information Cascade, Machine Learning, Social Sciences.
%@language pt
%3 ibanez_forecasting.pdf
%O Trabalho apresentado no XXXIX CNMAC, Uberlândia - MG, 2019.