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Tekijä:Law, R.
Otsikko:Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting
Lehti:Tourism Management
2000 : AUG, VOL. 21:4, p. 331-340
Asiasana:Tourism
Hotel management
Neural networks
Time series
Forecasting
Kieli:eng
Tiivistelmä:This research extends the applicability of neural networks in tourism demand forecasting by incorporating the backpropagation learning process into a non- linearity separable tourism demand data. Empirical results indicate that utilizing a backpropagation neural network outperforms regression models, time-series models, and feed-forward networks in terms of forecasting accuracy.
SCIMA tietueen numero: 205980
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