Demand forecasting based on natural computing approaches applied to the foodstuff retail segment-Reference-Cited by-同舟云学术

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Demand forecasting based on natural computing approaches applied to the foodstuff retail segment

Published:2016-07 Issue: Volume:31 Page:174-181
ISSN:0969-6989
Container-title:Journal of Retailing and Consumer Services
language:en
Short-container-title:Journal of Retailing and Consumer Services

Author:

Veiga Claudimar Pereira da,Veiga Cássia Rita Pereira da,Puchalski Weslly,Coelho Leandro dos Santos,Tortato Ubiratã

Funder

CAPES (Brazilian Federal Agency for the Improvement of Higher Education)

Publisher

Elsevier BV

Subject

Marketing

Reference54 articles.

1. Market share forecasting: an empirical comparison of artificial neural networks and multinomial logit model;Agrawal;J. Retail.,1996

2. Wavelet neural networks: a practical guide;Alexandridis;Neural Netw.,2013

3. Forecasting aggregate retail sales: a comparison of artificial neural networks and traditional methods;Alon;J. Retail. Consum. Serv.,2001

4. Human lower extremity joint moment prediction: a wavelet neural network;Ardestani;Expert Syst. Appl.,2014

5. Making progress in forecasting;Armstrong;Int. J. Forecast.,2006

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