A Soft Computing Method of Economic Contribution Rate of Education: A Case of China

  • Hai-xiang Guo
  • Ke-jun Zhu
  • Jin-ling Li
  • Yan-min Xing
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


Economic contribution rate of education is the key factor of education economy. In this paper, a soft computing method of economic contri-bution rate of education is proposed. The method is composed of four steps: The first step is doing fuzzy soft-clustering to object system based on levels of science technology and getting optimal number of clusters, which determines number of fuzzy rules. The second step is that the fuzzy neural networks FNN1 from human capital to economic growth is constructed and we obtain economic contribution rate of human capital α k . The third step is that the fuzzy neural networks FNN2 from education to human capital is constructed and we obtain human capital contribution rate of education α k . The fourth step is calculating economic contribution rate of education ECE k  = α k ×α k . At last, the economic contribution rate of education of China is obtained.


Human Capital Fuzzy Rule Soft Computing Contribution Rate Fuzzy Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hai-xiang Guo
    • 1
  • Ke-jun Zhu
    • 1
  • Jin-ling Li
    • 1
  • Yan-min Xing
    • 1
  1. 1.School of ManagementChina University of GeosciencesWuhanChina

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