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Forecasting aggregate retail sales:: a comparison of artificial neural networks and traditional methods

✍ Scribed by Ilan Alon; Min Qi; Robert J. Sadowski

Book ID
117686871
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
251 KB
Volume
8
Category
Article
ISSN
0969-6989

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Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting. However, one of the main shortcomings of ANNs is their inability to identify important forecasting variables. This study uses multivariate adaptive regression splines (MARS), a nonlinear and non-parametric r