Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/61328
Title: Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques
Author: Clavería González, Óscar
Monte Moreno, Enric
Torra Porras, Salvador
Keywords: Politics of tourism
MIMO systems
Data transmission systems
Economic development
Política turística
Xarxes neuronals (Informàtica)
Sistemes MIMO
Transmissió de dades
Desenvolupament econòmic
Issue Date: 2015
Publisher: Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública
Abstract: This study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network models. We use three different Artificial Neural Networks techniques to forecast tourist demand: a multi-layer perceptron, a radial basis function and an Elman neural network. The structure of the networks is based on a multiple-input multiple-output setting (i.e. all countries are forecasted simultaneously). We use official statistical data of inbound international tourism demand to Catalonia (Spain) and compare the forecasting accuracy of four processing methods for the input vector of the networks: levels, growth rates, seasonally adjusted levels and seasonally adjusted growth rates. When comparing the forecasting accuracy of the different inputs for each visitor market and for different forecasting horizons, we obtain significantly better forecasts with levels than with growth rates. We also find that seasonally adjusted series significantly improve the forecasting performance of the networks, which hints at the significance of deseasonalizing the time series when using neural networks with forecasting purposes. These results reveal that, when using seasonal data, neural networks performance can be significantly improved by working directly with seasonally adjusted levels.
Note: Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2015/201503.pdf
It is part of: IREA – Working Papers, 2015, IR15/003
AQR – Working Papers, 2015, AQR15/003
URI: http://hdl.handle.net/2445/61328
ISSN: 2014-1254
Appears in Collections:Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))
Documents de treball / Informes (Econometria, Estadística i Economia Aplicada)
AQR (Grup d’Anàlisi Quantitativa Regional) – Working Papers

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