SVM Model for Influencing Factors of Financing

Abstract

In the trend of diversified economic development, how to entirely and systematically build a quantitative model for influencing factors of financing is a hot topic and difficult problem in the research of financial field. Based on SVM algorithm, this paper analyzes the influencing factors of China’s small-and-medium-sized corporate financing, and establishes a financing weight regression model, in order to avoid decoupling, fuzzy evaluation and other issues. The accuracy of SVM model depends on the model parameters. The bionic algorithm and PSO algorithm are introduced, and the norm of two adjacent prediction matrix differences is served as a fitness function, in order to solve the problems of affecting the prediction results due to numerical instabilities in the model prediction process. And this paper establishes a model with an ideal effect of the robustness and accuracy through introducing PSO-SVM algorithm and based on MATLAB platform.