Proceedings of the 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)

Study on Operational Risk Management of Neural Network Commercial Bank

Authors
Lijuan Liu
Corresponding Author
Lijuan Liu
Available Online September 2016.
DOI
10.2991/ieesasm-16.2016.215How to use a DOI?
Keywords
Commercial Banks, Operational Risk, Neural Network
Abstract

Operational risk is a major component of commercial bank risk management. With the continuous development of society, but also gradually facing the globalization of financial close, while commercial banks have also faced with increasingly complex operational risk. This requires commercial banks to effectively manage operational risk, if not timely response, not only has a huge impact on the operations and competitiveness of commercial banks, commercial banks and even lead to death.

Copyright
© 2016, 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 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)
Series
Advances in Economics, Business and Management Research
Publication Date
September 2016
ISBN
978-94-6252-230-5
ISSN
2352-5428
DOI
10.2991/ieesasm-16.2016.215How to use a DOI?
Copyright
© 2016, 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  - Lijuan Liu
PY  - 2016/09
DA  - 2016/09
TI  - Study on Operational Risk Management of Neural Network Commercial Bank
BT  - Proceedings of the 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)
PB  - Atlantis Press
SP  - 992
EP  - 995
SN  - 2352-5428
UR  - https://doi.org/10.2991/ieesasm-16.2016.215
DO  - 10.2991/ieesasm-16.2016.215
ID  - Liu2016/09
ER  -