search query: @indexterm Neural networks / total: 121
reference: 44 / 121
| 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. |
SCIMA