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

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Book cover Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

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.

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Author information

Authors and Affiliations

  1. School of Management, China University of Geosciences, Wuhan, Hubei, 430074, China

    Hai-xiang Guo, Ke-jun Zhu, Jin-ling Li & Yan-min Xing

Authors
  1. Hai-xiang Guo
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  2. Ke-jun Zhu
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  3. Jin-ling Li
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  4. Yan-min Xing
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Guo, Hx., Zhu, Kj., Li, Jl., Xing, Ym. (2006). A Soft Computing Method of Economic Contribution Rate of Education: A Case of China. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_171

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  • DOI: https://doi.org/10.1007/11760191_171

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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