Abstract

This paper analyses the correlation of the data indicators of tourism economy resources firstly. Because there are higher nonlinear and larger volatility with the analysis and forecasting of tourism economy, this paper gives the analysis and forecasting model of tourism economy based on improved support vector regression (SVR) secondly. All kinds of kernel function are used in the numerical test based on the tourism economy data of Taian from January 2000 to December 2008 lastly. The numerical test results show that the improved SVR model of tourism economy forecasting is effective.

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