Prediction Model of Chinese Forestry Ecological Economy Based on Support Vectors Regression

For developing forestry ecological economy is a most watched problem recent years, to analyze the relative economic data and find out existing problems, will greatly help governments revise the policies and promote rapidly development of forestry ecological economy. Based on the support vector regression theory, the thesis builds the regression analysis model of our forestry ecological development, collects the development data from state statistic bureau, analyzed the correlation of the selected parameters, and trains and tests the regression model. Finally, this thesis point out that current Chinese forestry ecological economy still exists two problems: first is the rate of third industry is too low, and the second problem is that the output of primary and second industry still greatly depend on timber yield, and it lead to the regional ecological system is fragile.