Research Group Prof. Vornberger

Abstract: Short Term Prediction of Sales in Supermarkets

F. M. Thiesing, U. Middelberg, O. Vornberger

In this paper artificial neural networks are applied to a short term forecast of the sale of articles in supermarkets. The times series of sales, prices and advertising campaigns are modelled to fit into feedforward multilayer perceptron networks that are trained by the back-propagation algorithm. Several net topologies and training parameters have been compaired. For enhancement the back-propagation algorithm has been parallelized in different manners. One batch and two on-line training algorithms are implemented on parallel systems with both the runtime environments Parix and PVM. The research will lead to a practical forecasting system for supermarkets.

Proceedings ICNN '95, 1995 International Conference on Neural Networks
Perth, Western Australia 27 Nov - 1 Dec 1995
IEEE Catalog Number: 95CH35828,
ISBN 0-7803-2768-3 (soft bound), ISBN 0-7803-2769-1 (hard bound)
Volume 2 of 6, pp. 1028-1031

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