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Author: | Law, R. |
Title: | Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting |
Journal: | Tourism Management
2000 : AUG, VOL. 21:4, p. 331-340 |
Index terms: | Tourism Hotel management Neural networks Time series Forecasting |
Language: | eng |
Abstract: | 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. |
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