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

• Main Authors: Seyedi, Seyed Navid, Rezvan, Pouyan, Akbarnatajbisheh, Saeed, Syed Hassan, Syed Ahmad Helmi
• Format: Article
• Language: English
• Published: Trans Tech Publications, Switzerland 2014
• Subjects: TJ Mechanical engineering and machinery
• 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

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...