ANÁLISIS Y PREDICCIÓN DE LA SERIE DE TIEMPO DEL PRECIO EXTERNO DEL CAFÉ COLOMBIANO UTILIZANDO REDES NEURONALES ARTIFICIALES
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Abstract
This article intends to design a non linear model for analysis and prediction of the time-series concerning the external price of Colombian coffee using rtificial Neural Networks. The main purpose is to compare the realm and limitations of proposed model and the linear prediction classic model ARIMA.
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How to Cite
García Martín, I. (2003). ANÁLISIS Y PREDICCIÓN DE LA SERIE DE TIEMPO DEL PRECIO EXTERNO DEL CAFÉ COLOMBIANO UTILIZANDO REDES NEURONALES ARTIFICIALES. Universitas Scientiarum, 8, 45–50. Retrieved from https://revistas.javeriana.edu.co/index.php/scientarium/article/view/4855
Section
Mathematics and Statistics