Research on Contribution Rate Measurement of Education on Economy Based on Fuzzy Neural Network Model
- 10.2991/msie-15.2015.45How to use a DOI?
- fuzzy theory; neural networks; investment in education; economic growth; contribution.
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.
- © 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/).
Cite this article
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 -