Forecast of National Higher Education Scale Trend Based on GM (1,1) Model

DOI

10.2991/assehr.k.210407.047How to use a DOI?

Keywords

GM (1,1), residual tests, MATLAB

Abstract

The three indicators of the number of schools, educational personnel and full-time teachers have a correlation with college size, which can be quantified. Therefore, by collecting data from the last five years in China, a grey forecasting model (GM) was used to predict the quantitative changes of these three indicators in the coming years and to propose targeted policies for implementation. The predicted values are analysed by residual tests for accuracy. The effectiveness of the policy is evaluated by passing the accuracy test.

Copyright

© 2021, 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  - Feiyan Shen
AU  - Mengxia Yang
AU  - Wei Deng
AU  - Sijia Zhong
PY  - 2021
DA  - 2021/04/08
TI  - Forecast of National Higher Education Scale Trend Based on GM (1,1) Model
BT  - Proceedings of the 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021)
PB  - Atlantis Press
SP  - 233
EP  - 237
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210407.047
DO  - 10.2991/assehr.k.210407.047
ID  - Shen2021
ER  -