Research on Enterprise Financial Risk Based on Radial Basis Function Neural

DOI

10.2991/wrarm-17.2017.16How to use a DOI?

Keywords

Financial Risk; Radial Basis Function Neural Network; Discriminant Analysis

Abstract

Enterprise financial risk research is based on the enterprise's operating conditions, financial indicators and other factors, the enterprise financial management activities exist in the financial risk detection and diagnosis. The effective measurement and prediction of financial risk can effectively prevent the financial crisis of enterprises and protect the interests of investors and managers. 171 listed companies in Shanghai and Shenzhen two city in 2016 as the research object, construct the research model of financial risk of Listed Companies in China Using RBF neural network method and discriminant analysis method for comparative analysis, trying to explore new way of mining research enterprise financial risk from the perspective of data. The empirical results show that the research system of enterprise financial risk based on RBF neural network model has good analytical ability, and can effectively control and prevent financial risk.

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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TY  - CONF
AU  - Peng Zheng
AU  - Jianhua Zhu
PY  - 2017/11
DA  - 2017/11
TI  - Research on Enterprise Financial Risk Based on Radial Basis Function Neural
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 88
EP  - 93
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.16
DO  - 10.2991/wrarm-17.2017.16
ID  - Zheng2017/11
ER  -