Cooperation between artificial neural networks and technical ‘classic’ estimates of demand for a series of sales of beer in Australia

The main goal of this article is to evaluate the complementation between forecasting techniques, in particular Neural Networks. The environment of the application is a foreign industrial sector, sales of beer in Australia. Most of the forecasting models act in a separate way, that is, treating problems through different views that exclude one another. The suggestion of this work is to use the methods in a cooperative way, looking forward to achieve better results. The article begins with some considerations on Time Series Studies, followed by a brief characterization of Neural Networks and the other methods used on this work. Continuing, the case is presented and discussed and finishing, conclusions and a list of references.