Neural networks for store performance forecasting: an empirical comparison with regression techniques (original) (raw)

Http Dx Doi Org 10 1080 09593969500000024, 2006

Abstract

The paper follows the applied practitioner tradition of location analysis by focusing on the development of tools for store performance assessment. Neural networks have been identified as a highly flexible modeling tool, which have a high, but as yet largely unsubstantiated, potential for managerial problem solving. This paper objectively assesses the suitability for neural networks for store performance modeling by directly comparing them with the tried and tested technique of multiple regression. Based upon data provided by a ...

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