Research on Contribution Rate Measurement of Education on Economy Based on Fuzzy Neural Network Model

DOI

10.2991/msie-15.2015.45How to use a DOI?

Keywords

fuzzy theory; neural networks; investment in education; economic growth; contribution.

Abstract

In this paper, the fuzzy theory and neural network theory to blend together, based on fuzzy neural network model to measure the economic contribution of education, through three stages of index selection and neural network training, the final empirical results show that education for China's economic development has a significant role in promoting.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junying Tan
PY  - 2015/11
DA  - 2015/11
TI  - Research on Contribution Rate Measurement of Education on Economy Based on Fuzzy Neural Network Model
BT  - Proceedings of the 2015 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 201
EP  - 205
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-15.2015.45
DO  - 10.2991/msie-15.2015.45
ID  - Tan2015/11
ER  -