Constantinidou, Christina and Nikolopoulos, Konstantinos and Bougioukos, Nikolaos and Tsiafa, Eirini and Petropoulos, Fotios and Assimakopoulos, Vassilios (2012) A neural network approach for the Theta model. Lecture Notes in Information Technology, 25. pp. 116-120. ISSN 2070-1918Full text not available from this repository.
Classic Theta model decomposes the original data series into two separate lines, which are extrapolated separately and the forecasts are combined with equal weights. The current study explores a neural network approach to Theta model, in terms of optimizing the combination weights of the two components in the final forecast. The performance of the proposed method (Theta AI) is compared against the original method for the two subsets of the NN3 forecasting competition, which primary objective was the evaluation of methods using neural networks or artificial intelligence for time series forecasting. Results indicate that the new approach is very promising towards the generalization of the Theta model.
|Journal or Publication Title:||Lecture Notes in Information Technology|
|Uncontrolled Keywords:||Time Series Forecasting ; Theta Model ; Neural Networks ; Artificial Intelligence ; Forecasting Competitions ; Theta AI|
|Subjects:||H Social Sciences > HB Economic Theory|
|Departments:||Lancaster University Management School > Management Science|
|Deposited On:||12 Oct 2012 14:47|
|Last Modified:||15 Nov 2016 00:06|
Actions (login required)