Research of Financial Early-Warning Model on Evolutionary Support Vector Machines Based on Genetic Algorithms
A support vector machine is a new learning machine; it is based on the statistics learning theory and attracts the attention of all researchers. Recently, the support vector machines (SVMs) have been applied to the problem of financial early-warning prediction (Rose, 1999). The SVMs-based method has...
Saved in:
| Main Authors: | Zuoquan Zhang, Fan Lang, Qin Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2009/830572 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Financial Risk Early-Warning of Neusoft Group Based on Support Vector Machine
by: Yuxuan Dai, et al.
Published: (2022-01-01) -
Research on Speech and Emotional Recognition Algorithm Based on Support Vector Machine
by: LIU Ming-zhu, et al.
Published: (2019-08-01) -
Early Warning of Financial Risk Based on K-Means Clustering Algorithm
by: Zhangyao Zhu, et al.
Published: (2021-01-01) -
Research on Early Warning Model of Financial Report Fraud in China
by: Y. Yubo, et al.
Published: (2023-08-01) -
Parameter Optimisation of Support Vector Machine using Genetic Algorithm for Cyberbullying Detection
by: Mohd Qorib Alqowiy, et al.
Published: (2025-01-01)