Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

The financial risk index system and early-warning research

Authors
Honghan Zhu, Xiangyun Liu
Corresponding Author
Honghan Zhu
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.88How to use a DOI?
Keywords
financial risk; neural network model;early warning mechanism
Abstract
Establishment and optimization of system and the early warning system of financial risk index model were the hot issues in the research of financial risk management. Research institutions and government agencies cooperation made economic early warning methods gradually mature and application. Through the research on the financial risk index system and early-warning model and summarizes, it could accurately measure the economic indicatorsto deal with the financial risk early warning. The use of artificial intelligence technology method, the application of Internet and data analysis and information technology in the financial risk index system and early-warning study could resolve the traditional model's ability to handle the problem of insufficient qualitative indexes, and improved the adaptive ability of the system, the intelligent information processing technology, economic early warning model constructed by combining financial risk early warning system had become a hot and new research directions.
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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.88How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Honghan Zhu
AU  - Xiangyun Liu
PY  - 2015/04
DA  - 2015/04
TI  - The financial risk index system and early-warning research
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 443
EP  - 447
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.88
DO  - https://doi.org/10.2991/icmra-15.2015.88
ID  - Zhu2015/04
ER  -