Study on the Financial Crisis Warning Based on Cash Flow

DOI

10.2991/amsm-16.2016.101How to use a DOI?

Keywords

logistic regression analysis, RBF neural networ

Abstract

The paper elaborates the value and effectiveness of the model aiming at protect the company in the complex market and provide the effective and timely decision in the minute to minute market.The paper has selected 200 functioned well companies and special treatment companies which are from multiple industries. The paper establishes the financial warning system based on the relevant literature and eliminate the linear effects with the factor analysis. The paper classify the financial performed well company and financial crisis company with logistic regression analysis model and neural network model and construct the model system and verify the model eventually.

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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TY  - CONF
AU  - Shaofang Ding
AU  - Donglin Wang
AU  - Yan Wang
AU  - Zhe Sun
PY  - 2016/05
DA  - 2016/05
TI  - Study on the Financial Crisis Warning Based on Cash Flow
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 446
EP  - 449
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.101
DO  - 10.2991/amsm-16.2016.101
ID  - Ding2016/05
ER  -