Tourism demand forecasting with neural network models : Different ways of treating information
Tourism demand forecasting with neural network models : Different ways of treating information
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Wiley-Blackwell
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English
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Wiley-Blackwell
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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...
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Tourism demand forecasting with neural network models : Different ways of treating information
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TN_cdi_csuc_recercat_oai_recercat_cat_2072_239935
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_239935
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1099-2340
