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A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
Conference ObjectAbstract: This document presents a comparison of demand forecasting methods, with the aim of improving demandPalabras claves:Classical methods, Demand forecasting methods, Forecast error, Machine learning, TEXTILE INDUSTRYAutores:Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusDemand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms
Conference ObjectAbstract: The generation of an accurate forecast model to estimate the future demand for textile products thatPalabras claves:artificial neural networks, Demand Forecasting, Machine learning algorithms, Statistical Analysis, Temporal hierarchies, Textile productsAutores:Alemany M.M.E., Araujo R.A., Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-LeyvaFuentes:scopus