Study on the Method of Projection Risk Evaluation Based on Support Vector Machine
Lin Jian · Optimization of Capital Construction · 2006
A novel projection risk evaluation method based on support vector machines (SVM) has been proposed in this paper. SVM has better generalization than BP neutral network with small sample data, hence naturally take more advantages in projection investment risk evaluation. The algorithm validation has been done with high technology projections in Fujian province and the ex-periment results support our conclusion.