Technology Program Financial Forecast Model Based on CACO-SVM

Accompany by the rapid changes of the world, the funds on technology programs invested by the country are increasing year by year with the growing demand. This paper introduces the theory of continuous ant colony optimization algorithms and support vector machine to analyze, predicts the financial situation of enterprises and sets up the financial forecast model CACO-SVM. Financial datas of some companies are used to train and test this arithmetic, and the results show that this model is feasible and practicable.