MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection-Reference-Cited by-同舟云学术

MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection

Published:2023 Issue:3 Volume:75 Page:5573-5595
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Xu Zhanyang,Cheng Jianchun,Cheng Luofei,Xu Xiaolong,Bilal Muhammad

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n3/52593/pdf

Reference36 articles.

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3. Fintech, optimal banking market structure, and credit supply for SMEs;Sheng;Journal of Financial Research,2020

4. Enterprise credit risk evaluation based on neural network algorithm;Huang;Cognitive Systems Research,2018

5. P. Golbayani, D. Wang and I. Florescu, “Application of deep neural networks to assess corporate credit rating,” arXiv preprint arXiv:2003.02334, 2020.

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