A Soft Computing Method of Economic Contribution Rate of Education
Xing Yan-ming · Journal of systems management · 2007
In this paper,a new soft computing method of economic contribution rate of education is proposed.The method is consisted of four steps: In the first step,This paper develops cluster object system according to the level of science technology and gets the optimal number of cluster,which determines the number of rules.In the second step,the structure of fuzzy neural networks is determined by the number of rules and the fuzzy neural networks FNN1 from human capital to economic growth is constructed and we obtain economic contribution rate of human capital α_k;In the third step,the fuzzy neural networks FNN2 from education to human capital is constructed and we obtain economic contribution rate of human capital α′_k.In the fourth step,economic contribution rate of education ECE_k=α_k×α′_k.At last, the algorithm is used to compute the economic contribution rate of education in China.