%0 Journal Article
%@secondarytype PRE PI
%@issn 2359-0793
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@nexthigherunit 8JMKD3MGPCW/3F2PHGS
%2 sid.inpe.br/mtc-m21c/2020/03.05.13.12.38
%4 sid.inpe.br/mtc-m21c/2020/03.05.13.12
%3 ibanez_forecasting.pdf
%9 conference paper
%A Ibanez, Marilyn Minicucci,
%A Rosa, Reinaldo Roberto,
%A Guimarães, Lamartine Nogueira Frutuoso,
%A Joshi, Neelakshi,
%B Proceedings Series of the Brazilian Society of Computational and Applied Mathematics
%D 2020
%K P-model Algorithm, Multiplicative Information Cascade, Machine Learning, Social Sciences.
%N 1
%O Trabalho apresentado no XXXIX CNMAC, Uberlândia - MG, 2019.
%P e10159
%T Forecasting endogenous and exogenous time series generated by P-model Aagorithm using the Keras machine learning API
%V 7
%@area COMP
%@electronicmailaddress 1marilynminicucciibanez1@gmail.com
%@electronicmailaddress reinaldo.rosa@inpe.br
%@electronicmailaddress lamar.guima@gmail.com
%@electronicmailaddress neelakshij@gmail.com
%@documentstage not transferred
%@group CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@group
%@group CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
%@usergroup simone
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JJ5D
%@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)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}