The CPI forecast based on GA-SVM

The condition of CPI is very complex. The traditional forecast method certain limits because of the difficulty in modeling. The use of genetic algorithm optimization to improve the parameters of vector machine can avoid the blindness caused by men in selecting parameters, thus solving the problem produced by traditional and uncertain methods and promoting the training speed and the ability to predict and popularize of the model. On the basis of existed research and the analysis of the property of the parameters of the support vector machine SVM, this paper adopts genetic algorithms optimizes the parameter in SVM, then establishes the CPI forecast model based on genetic algorithms-support vector machine GA-SVM. Lastly, this paper does example forecasting by adopting this method. By doing so, the forecasting of CPI is greatly simplified. The effectiveness of the method is proved through the comparison of forecast results and actual ones.