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A comparison of conventional linear regression methods and neural networks for forecasting educational spending

โœ Scribed by Bruce D. Baker; Craig E. Richards


Book ID
117445593
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
76 KB
Volume
18
Category
Article
ISSN
0272-7757

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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