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- W2364756957 abstract "Predicting the number of future travelers is one of the three key questions to answer in economic analysis and strategy planning of tourism industry. The research attempts to build a predictive model for demands in travelers from main-land China to Hong Kong and provide valuable information in establishing a planning strategy for Hong Kong tourism. In this research, a theoretical model is constructed firstly, and then Neural Network (NN), Moving Average (MA), Time-Series, and Multiple Regression method are applied to build the prediction model for tourism demand. The experimental results show that our model is able to predict the number of people from mainland China who may in the near future travel to Hong Kong with relatively high accuracy. It is concluded that the NN fits to the data the best compared to other three models." @default.
- W2364756957 created "2016-06-24" @default.
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- W2364756957 date "2008-01-01" @default.
- W2364756957 modified "2023-09-26" @default.
- W2364756957 title "Forecasting Model for Hong Kong's Tourism from Mainland China" @default.
- W2364756957 hasPublicationYear "2008" @default.
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