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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Du, J., Guo, W., & Wang, R. (2007). Tourism room occupancy rate prediction based on neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4493 LNCS, pp. 80–84). Springer Verlag. https://doi.org/10.1007/978-3-540-72395-0_11
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