AQR‐IREA, University of Barcelona, 08034 Barcelona, Spain
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Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information
Published in International Journal of Tourism Research
This paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi‐layer perceptron, a radial basis function and an Elman network. We find that multi‐layer perceptron and radial basis function models outperform Elman networks. We repeated the experiment assuming different topol...
