Research of the enterprise financial risk based on support vector machine

DOI

10.2991/icsste-15.2015.231How to use a DOI?

Keywords

Support vector machine; Financial crisis; Warning model

Abstract

For comparing the prediction accuracy of company financial crisis prediction models, the support vector machine model was introduced in this paper to predict that whether there exists financial crisis in a company or not. Through the acquisition of a large number of samples for training and testing, the specific example’s results demonstrate that the financial crisis warning model based on support vector machine can effectively predict the financial crisis. The forecast accuracy of the training samples and testing sample respectively are 94.5% and 93.9%, which is better than the neural network model.

Copyright

© 2015, 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  - Lin Yan
PY  - 2015/04
DA  - 2015/04
TI  - Research of the enterprise financial risk based on support vector machine
BT  - Proceedings of the 2015 International Conference on Social Science and Technology Education
PB  - Atlantis Press
SP  - 918
EP  - 921
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-15.2015.231
DO  - 10.2991/icsste-15.2015.231
ID  - Yan2015/04
ER  -