Evaluating ARIMA-neural network hybrid model performance in forecasting stationary timeseries

Demand prediction is one of most sophisticated steps in planning and investments. Although many studies are conducted to find the appropriate forecasting models, dynamic nature of forecasted parameters and their effecting factors are apparent evidences for continuous researches. ARIMA, Artificial Ne...

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Bibliographic Details
Main Authors: Seyedi, Seyed Navid, Rezvan, Pouyan, Akbarnatajbisheh, Saeed, Syed Hassan, Syed Ahmad Helmi
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2014
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Online Access:http://eprints.utm.my/id/eprint/52746/1/SyedAhmadHelmi2014_EvaluatingARIMA-neuralnetwork.pdf
http://eprints.utm.my/id/eprint/52746/
https://dx.doi.org/10.4028/www.scientific.net/AMR.845.510
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