A Comparative Study on Business Forecasting Accuracy among Neural Networks and Time Series

Dr. Osman Mohamed Abbas

Abstract


This study shows that neural networks have been advocated as an alternative to traditional statistical forecasting methods. Numerous articles comparing performances of statistical and Neural Networks (NNs) models are available in the literature. The need for increased accuracies in time series forecasting has motivated the researchers to develop innovative models. The results obtained in this study suggest that the approach of combining the strengths of the conventional and ANN techniques provides a robust modeling framework capable of capturing the non-linear nature of the complex time series and thus producing more accurate forecasts.


Keywords


forecasting; neural networks; time series.

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References


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