您当前的位置：
首页 >
文章列表页 >
Research on Personal Credit Risk Assessment Based on Improved Active Generative Oversampling
更新时间：2024-09-25
|

    • Research on Personal Credit Risk Assessment Based on Improved Active Generative Oversampling

    • “在个人信用风险评估领域，专家提出了一种改进的ACGAN模型，通过Wasserstein距离和Focal loss增强分类器性能，显著提升了F1、AUC及G-means指标。”
    • Software Guide   Vol. 23, Issue 9, Pages: 163-169(2024)

    • DOI：10.11907/rjdk.241335    

      CLC： TP183

    • Published：16 September 2024，

      Received：04 March 2024，

    移动端阅览

  • GU Zhehan,HUANG Baofeng.Research on Personal Credit Risk Assessment Based on Improved Active Generative Oversampling[J].Software Guide,2024,23(09):163-169. DOI： 10.11907/rjdk.241335.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Multi-Object Detection Algorithm for Unmanned Driving Based on Deep Learning
Review of Named Entity Recognition Research
Office Smoking Behavior Detection Based on Improved YOLOv5 Model
Multimodal Psychological Evaluation Algorithm for Power Grid Industry
Review of Dialogue Systems Based on Deep Neural Networks

Related Author

ZHU Yu-gang
HU Dezhou
LI Guanfeng
WEI Yuanhui
FANG Rui
SHI Xing
LIU Jinzhi
LI Hualiang

Related Institution

School of Electronics and Communication，Hangzhou Dianzi University
School of Information Engineering， Ningxia University
College of Computer Science， Chengdu University of Information Technology
Electric Power Research Institute, Guangdong Power Grid Co., Ltd
Key Laboratory of Occupational Health and Safety,Guangdong Power Grid Co., Ltd
0