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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Journal of Physics: Conference Series(1)
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Ciencias de la computación(1)
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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:scopusArtificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study
Conference ObjectAbstract: This paper shows a neural networks-based demand forecasting model designed for a small manufacturerPalabras claves:artificial neural networks, Long-term demand forecasting, Small businessAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Iván García-Santillán, Jorge A. Caraguay-Procel, Joselyn A. Chicaiza-Ipiales, Leandro L. Lorente-LeyvaFuentes:googlescopusArtificial Neural Networks for Urban Water Demand Forecasting: A Case Study
Conference ObjectAbstract: This paper presents an application of an artificial neural network model in forecasting urban waterPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Jairo F. Pavón-Valencia, Leandro L. Lorente-Leyva, Yakcleem Montero-SantosFuentes:scopus