Abstract
We studied how to use neural network in the tourism room occupancy rate prediction in Beijing. We gave the result of prediction on room occupancy rate. The results of the experiment showed that the prediction of the room occupancy rate made by neural network is superior to the two methods of regression and naïve extrapolation which are often used.
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© 2007 Springer Berlin Heidelberg
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Du, J., Guo, W., Wang, R. (2007). Tourism Room Occupancy Rate Prediction Based on Neural Network. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_11
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DOI: https://doi.org/10.1007/978-3-540-72395-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72394-3
Online ISBN: 978-3-540-72395-0
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