College of Information Science and Technology, Hainan University, Haikou, China

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Abstract—Tourist quantity is an important factor deciding economic benefits and sustainable development of tourism. Thus tourist quantity prediction becomes the important content of tourism development planning. Based on the tourist quantity of Hainan province for more than twenty years, this paper establishes tourist quantity prediction model according to RBF neural network [1], in which the principle and algorithm of RBF neural network is used. And this paper also predicts the future tourist quantity of Hainan province. The Matlab emulation result of RBF neural network model shows based on RBF neural network tourist quantity prediction model can exactly predict the future tourist quantity of Hainan province, thus providing a new idea and mean for tourist quantity prediction.

Index Terms—RBF neural network, International Tourism Island, Tourist quantity, Predict

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Cite: HuaiQiang Zhang, JingBing Li, "Prediction of Tourist Quantity Based on RBF Neural Network," Journal of Computers vol. 7, no. 4, pp. 965-970, 2012.