Study on the Financial Crisis Warning Based on Cash Flow
- 10.2991/amsm-16.2016.101How to use a DOI?
- logistic regression analysis, RBF neural networ
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.
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- 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 - 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 -