Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)

Research on Early Warning Platform of Quality Assurance System Based on BP Neural Network

Authors
Sun Cuihua, Ge Yong, Yao Zhengang
Corresponding Author
Sun Cuihua
Available Online July 2017.
DOI
10.2991/snce-17.2017.23How to use a DOI?
Keywords
BP neural network; Quality assurance system; Early warning indicators; Genetic algorithm
Abstract

This paper establish professional settings and talent supply and demand forecast and dynamic early warning mechanism, analyzes the professional evaluation index system, constructs the function module of the platform, and develops the dynamic warning platform of professional quality assurance system based on BP neural network, which is based on the professional construction quality improvement double helix as the quality assurance model, taking the specialty of higher vocational education as the research object. And Experiments show that the platform has good early warning performance.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/snce-17.2017.23
ISSN
2352-538X
DOI
10.2991/snce-17.2017.23How to use a DOI?
Copyright
© 2017, 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  - Sun Cuihua
AU  - Ge Yong
AU  - Yao Zhengang
PY  - 2017/07
DA  - 2017/07
TI  - Research on Early Warning Platform of Quality Assurance System Based on BP Neural Network
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.23
DO  - 10.2991/snce-17.2017.23
ID  - Cuihua2017/07
ER  -