Examinando por Autor "Altamirano, Angel Felipe"
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- ÍtemPredicción de la demanda de un producto con redes neuronales(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Marin Peralta, Maria Alejandra; Altamirano, Angel Felipe; Gonzalez Veloza, JhonObtaining an accurate forecast that provides relevant information on the behavior of the market and the demand for a product, has always been fundamental for the companies. Therefore, various efforts have been made to create methodologies to predict with a high degree of accuracy the behavior of a business. Usually, statistical models of linear prediction and statistical descriptive have been the most used for its simplicity and easy interpretation. In this work a model of recurrent neural networks LSTM was carried out to predict the units invoiced for a certain reference, reaching low error levels, which confirms the reliability of the demand forecasting tool