Free Access
Issue
E.J.E.S.S.
Volume 14, Number 1, 2000
Neural Models in Economy and Management Science
Page(s) 69 - 79
DOI https://doi.org/10.1051/ejess:2000109
DOI: 10.1051/ejess:2000109

European Journal of Economic and Social Systems 14 N$^\circ$ 1 (2000) 69-79

Relative performance of the statistical learning network: An application of the price-quality relationship in the automobile

Pierre Desmet

Professor at University Paris IX-Dauphine and Essec;
E-mail: Pierre.Desmet@Dauphine.Fr

Abstract:

The design and topology of a neural network is still an important and difficult task. To solve the problems of topology posed by the introduction of connexionism, new approaches are proposed, and especially a combination of induction rules with a statistical estimation of the neuron coefficients for each layer. This research aims to compare an algorithm of this SLN approach with traditional methods (regression and classical BP neural networks) using the gradient method. Methods are put into application to determine the price-quality relationship of a complex product, the automobile, according to the hedonic price model. This application of the price-quality relationship to the English automobile market leads to the conclusion that the claimed superiority of this approach is unsubstantiated since, compared to the BP neural networks and even linear regression, the performance of the GMDH method is inferior.

Keywords: Connexionism, neural networks, hedonic prices, statistical
learning networks

Copyright EDP Sciences 2000

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