Research on the Company Financial Crisis Prediction Model based on Support Vector Machine

DOI

10.2991/amcce-15.2015.14How to use a DOI?

Keywords

Support vector machine; Financial crisis; Prediction 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 prediction model based on support vector machine can effectively predict the financial crisis. The prediction 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  - Weiping Zhong
PY  - 2015/04
DA  - 2015/04
TI  - Research on the Company Financial Crisis Prediction Model based on Support Vector Machine
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 75
EP  - 79
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.14
DO  - 10.2991/amcce-15.2015.14
ID  - Zhong2015/04
ER  -