Name
Title | ||
|---|---|---|
A new method of soft computing to estimate the economic contribution rate of education in China |
Abstract | ||
|---|---|---|
Economic contribution rate of education (ECE) is the key factor of education economics. In this paper, a soft computing method of economic contribution rate of education is proposed. The method is composed of four steps. The first step does fuzzy soft-clustering to object system based on levels of science and technology and obtains the optimal number of clusters, which determines the number of fuzzy rules. The second step constructs the fuzzy neural networks FNN1 from human capital to economic growth and obtains economic contribution rate of human capital @a"k. The third step constructs the fuzzy neural networks FNN2 from education to human capital and obtains human capital contribution rate of education @a^'"k. The fourth step calculates the economic contribution rate of education ECE"k=@a"kx@a^'"k. At last, this algorithm is applied to obtain the economic contribution rate of education in China. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.asoc.2007.02.011 | Appl. Soft Comput. |
Keywords | Field | DocType |
soft computing,fuzzy neural network,obtains economic contribution rate,human capital,education ece,obtains human capital contribution,economic growth,fuzzy soft-clustering,education economics,fuzzy neural networks,new method,the economic contribution rate of education,economic contribution rate,fuzzy rule,science and technology | Fuzzy neural,Fuzzy logic,China,Artificial intelligence,Soft computing,Human capital,Mathematics,Education economics | Journal |
Volume | Issue | ISSN |
8 | 1 | Applied Soft Computing Journal |
Citations | PageRank | References |
3 | 0.46 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haixiang Guo | 1 | 71 | 10.66 |
| Fengqin Diao | 2 | 29 | 3.04 |
| Kejun Zhu | 3 | 177 | 22.96 |
| Jin-ling Li | 4 | 19 | 2.35 |
| Yan-min Xing | 5 | 3 | 0.79 |