The Risk Assessment Model of Small and Medium-Sized Enterprises of Science and Technology Based On Boosting
Authors
X.F Lei, Z. Wang, Y.T Li
Corresponding Author
X.F Lei
Available Online June 2015.
- DOI
- 10.2991/cisia-15.2015.128How to use a DOI?
- Keywords
- SMES; financing difficulties; credit evaluation; boosting
- Abstract
Break the financing-difficulties has always been the key to the development of small and medium-sized enterprises of science and technology(SMES), so the construction of a targeted credit evaluation model is of great significance to provide data support of financing. The paper proposed a credit evaluation model based on Boosting, which not only improves the accuracy but also avoids over fitting phenomenon. We also optimized the evaluation index by embodying the characteristics of SMES, which achieves the dynamic evaluation and meet the requirements of the more targeted model simultaneously, in order to ensure accuracy.
- 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/).
Cite this article
TY - CONF AU - X.F Lei AU - Z. Wang AU - Y.T Li PY - 2015/06 DA - 2015/06 TI - The Risk Assessment Model of Small and Medium-Sized Enterprises of Science and Technology Based On Boosting BT - Proceedings of the International Conference on Computer Information Systems and Industrial Applications PB - Atlantis Press SP - 470 EP - 472 SN - 2352-538X UR - https://doi.org/10.2991/cisia-15.2015.128 DO - 10.2991/cisia-15.2015.128 ID - Lei2015/06 ER -