# An artificial neural network (p, d, q) model for timeseries forecasting

@article{Khashei2010AnAN, title={An artificial neural network (p, d, q) model for timeseries forecasting}, author={Mehdi Khashei and Mehdi Bijari}, journal={Expert Syst. Appl.}, year={2010}, volume={37}, pages={479-489} }

Artificial neural networks (ANNs) are flexible computing frameworks and universal approximators that can be applied to a wide range of time series forecasting problems with a high degree of accuracy. [...] Key Method In this paper, a novel hybrid model of artificial neural networks is proposed using auto-regressive integrated moving average (ARIMA) models in order to yield a more accurate forecasting model than artificial neural networks. The empirical results with three well-known real data sets indicate that… Expand

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