How effective are neural networks at forecasting and prediction? A review and evaluation

How effective are neural networks at forecasting and prediction? A review and evaluation

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Article ID: iaor20001249
Country: United Kingdom
Volume: 17
Issue: 5/6
Start Page Number: 481
End Page Number: 495
Publication Date: Sep 1998
Journal: International Journal of Forecasting
Authors: ,
Keywords: neural networks
Abstract:

Despite increasing applications of artificial neural networks (NNs) to forecasting over the past decade, opinions regarding their contribution are mixed. Evaluating research in this area has been difficult, due to lack of clear criteria. We identified eleven guidelines that could be used in evaluating this literature. Using these, we examined applications of NNs to business forecasting and prediction. We located 48 studies done between 1988 and 1994. For each, we evaluated how effectively the proposed technique was compared with alternatives (effectiveness of validation) and how well the technique was implemented (effectiveness of implementation). We found that eleven of the studies were both effectively validated and implemented. Another eleven studies were effectively validated and produced positive results, even though there were some problems with respect to the quality of their NN implementations. Of these 22 studies, 18 supported the potential of NNs for forecasting and prediction.

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