Demand Forecasting Method Using Artificial Neural Networks
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Amelec Viloria | Omar Bonerge Pineda Lezama | Hugo Hernández Palma | Carlos Vargas Mercado | Luis Cabas Vásquez | Mercedes Gaitán | Luisa Fernanda Arrieta Matos | Yasmin Flórez Guzmán
[1] Amelec Viloria,et al. Models of Multivariate Regression for Labor Accidents in Different Production Sectors: Comparative Study , 2018, DMBD.
[2] Amelec Viloria,et al. Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching - Learning Process Through Knowledge Data Discovery (Big Data) , 2018, DMBD.
[3] Amelec Viloria,et al. Statistical Adjustment Module Advanced Optimizer Planner and SAP Generated the Case of a Food Production Company , 2016 .
[4] Fernando Villada,et al. Aplicación de las Redes Neuronales al Pronóstico de Precios en el Mercado de Valores , 2012 .
[5] Ravi Sankar,et al. Time Series Prediction Using Support Vector Machines: A Survey , 2009, IEEE Computational Intelligence Magazine.
[6] M. G. Villarreal-Marroquín,et al. Estudio de validación de un método para seleccionar técnicas de pronóstico de series de tiempo mediante redes neuronales artificiales , 2013 .
[7] Juan Carlos Sanclemente Téllez,et al. Las ventas y el mercadeo, actividades indisociables y de gran impacto social y económico. El aporte de Tosdal , 2007 .
[8] Guoqiang Peter Zhang,et al. Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.
[9] José Gabriel Gómez Cortés,et al. Desarrollo de un modelo de redes neuronales artificiales para predecir la resistencia a la compresión y la resistividad eléctrica del concreto , 2007 .
[10] Gilbert A. Churchill,et al. Improving the measurement of service quality , 1993 .
[11] Da Ruan,et al. Fuzzy systems and soft computing in nuclear engineering , 2000 .
[12] Darwin Ramiro Mercado Polo,et al. Comparación de Redes Neuronales aplicadas a la predicción de Series de Tiempo Comparison of Neural Network applied to prediction of Time Series , 2015 .
[13] Su Hua,et al. Daily Sales Forecasting for Grapes by Support Vector Machine , 2013, CCTA.
[14] Eliana Mirledy Toro Ocampo,et al. PRONÓSTICO DE VENTAS USANDO REDES NEURONALES , 2004 .
[15] J. Carman. Consumer perceptions of service quality: an assessment of the SERVQUAL dimensions , 1990 .
[16] Norman R. Swanson,et al. Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models , 1997 .
[17] Hong-Sen Yan,et al. A Forecasting Model Based Support Vector Machine and Particle Swarm Optimization , 2008, 2008 Workshop on Power Electronics and Intelligent Transportation System.
[18] Amelec Viloria. Commercial Strategies Providers Pharmaceutical Chains for Logistics Cost Reduction , 2016 .
[19] Amelec Viloria,et al. Fuzzy Logic Applied to the Performance Evaluation. Honduran Coffee Sector Case , 2018, ICSI.
[20] Amelec Viloria,et al. Measures of Concentration and Stability: Two Pedagogical Tools for Industrial Organization Courses , 2018, ICSI.
[21] Amelec Viloria,et al. Econometric Analysis of the Industrial Growth Determinants in Colombia , 2018, ADC.
[22] J. Contreras,et al. Forecasting electricity prices for a day-ahead pool-based electric energy market , 2005 .
[23] Kin Keung Lai,et al. Demand forecasting of perishable farm products using support vector machine , 2013, Int. J. Syst. Sci..
[24] Sergio de la Fé Dotres,et al. Pronóstico de las pérdidas en redes de distribución mediante redes neuronales , 2005 .
[25] Maria Tsinidou,et al. Evaluation of the factors that determine quality in higher education: an empirical study , 2010 .
[26] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[27] Mugdha Jain,et al. Adapting k-means for Clustering in Big Data , 2014 .