Corporate Financial Warning Model Based on PSO and SVM

PSO is an overall stochastic optimization algorithm based on the selection of the feature set and optimization of kernel function parameters, which has great impact on the forecasting performance of support vector machines (SVM) model. This paper presents the combining model (PSO-SVM) of the particle swarm optimization and support vector machine. This model uses the PSO to conduct the optimization on the feature set and kernel function parameters at the same time, in order to improve the prediction result of SVM model, and this model is put into practice of the research on corporate financial warning and finally enhances the forecasting result.