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                                       Details for article 8 of 9 found articles
 
 
  Time series: Empirical characterization and artificial neural network-based selection of forecasting techniques
 
 
Title: Time series: Empirical characterization and artificial neural network-based selection of forecasting techniques
Author: Marroquín, Marí Guadalupe Villarreal
Cervantes, Mary Carmen Acosta
Flores, José Luis Martínez
Cabrera-Ríos, Mauricio
Appeared in: Intelligent data analysis
Paging: Volume 13 (2009) nr. 6 pages 969-982
Year: 2009-11-25
Contents: In this work a method to facilitate the elaboration of a forecast for people with little statistical training is proposed. The method uses a rather simple yet sufficiently accurate time series characterization that allowed training a series of artificial neural networks (ANNs) to predict the forecasting performance of several statistical techniques. A case study is presented to demonstrate the application of the method. All techniques used, including the ANN, were conveniently coded in MS Excel so the computational requirements are modest. Furthermore, the results can be tabulated for quick consultation.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 9 found articles
 
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