Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)

Study on Energy Finance Risk Warning Model --- Based on GABP Algorithm

Authors
Xiong Zhong, Jiaying Tu
Corresponding Author
Xiong Zhong
Available Online July 2017.
DOI
10.2991/essaeme-17.2017.416How to use a DOI?
Keywords
energy finance, risk warning, genetic algorithm, neural network
Abstract

Based on the developing features of the energy finance in our country, this paper designs the warning index system covering the systematic features of energy finance risks, which is BP neural network method based on genetic algorithm optimization; the energy finance risk warning model can provide information on risk recognition and risk warning for government and relevant management departments.

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 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
10.2991/essaeme-17.2017.416
ISSN
2352-5398
DOI
10.2991/essaeme-17.2017.416How 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  - Xiong Zhong
AU  - Jiaying Tu
PY  - 2017/07
DA  - 2017/07
TI  - Study on Energy Finance Risk Warning Model --- Based on GABP Algorithm
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.416
DO  - 10.2991/essaeme-17.2017.416
ID  - Zhong2017/07
ER  -