Financial impact of errors in business forecasting: a comparative study of linear models and neural networks

The importance of demand forecasting as a management tool is a well documented issue. However, it is difficult to measure costs generated by forecasting errors and to find a model that assimilate the detailed operation of each company adequately. In general, when linear models fail in the forecastin...

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Bibliographic Details
Main Authors: Claudimar Pereira da Veiga, Cássia Rita Pereira da Veiga, Guilherme Ernani Vieira, Ubiratã Tortato
Format: Article
Language:English
Published: Universidade Federal de Santa Catarina 2012-08-01
Series:Revista Produção Online
Subjects:
Online Access:http://producaoonline.org.br/rpo/article/view/959

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