Data pre-processing for neural network-based forecasting: does it really matter?

Data pre-processing for neural network-based forecasting: does it really matter?

This study aims to analyze the effects of data pre-processing on the forecasting performance of neural network models. We use three different Artificial Neural Networks techniques to predict tourist demand: multi-layer perceptron, radial basis function and the Elman neural networks. The structure of...

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Bibliographic Details
Main Authors: Oscar Claveria, Enric Monte, Salvador Torra
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-06-01
Series:Technological and Economic Development of Economy
Subjects:
artificial neural networks
forecasting
multiple-input multiple-output (MIMO)
seasonality
detrending
tourism demand
Online Access:http://journals.vgtu.lt/index.php/TEDE/article/view/681

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