2022-03-292022-03-292019-07-05FARIA FILHO, Eduardo Rodrigues de. GUIMARÃES, Gabriel Augusto de Vito D'Abbadia. Utilização de redes neurais recorrentes para predição de controle de estoque. 2019. 54 f. Trabalho de Conclusão de Curso (Graduação) - Escola de Engenharia Elétrica, Mecânica e de Computação, Universidade Federal de Goiás, Goiânia, 2019.http://repositorio.bc.ufg.br/handle/ri/20516The present work aims at studying the Recurrent Neural network (RNN) as a method for prediction of the amount of stock needed for the given period of maize deseeded. Being that the corn product marketed for a specific seller of agricultural products. Before that, it was made a study of the historical series of sales of the product in question and so confronted past periods for the prediction in future periods.porAcesso AbertoRedes neurais recorrentesPredição de estoqueInteligência artificialRecurrent neural networkInventory predictionArtificial intelligenceTCC