Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network

التفاصيل البيبلوغرافية
العنوان: Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network
المؤلفون: Qiang Tang, Wen Yu Shi
المصدر: Mathematical Problems in Engineering. 2022:1-6
بيانات النشر: Hindawi Limited, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Article Subject, General Mathematics, General Engineering
الوصف: Small, medium, and micro enterprises play an important role in the development of the national economy and are of great significance in promoting technological innovation, relieving employment pressure, facilitating people’s lives, and maintaining social stability. But in China, small, medium, and micro enterprises generally exist in the phenomenon of “financing difficulties.” Therefore, we need to find a method to forecast its credit risk. By using Python, SPSS, and other software, based on a two-component logistic regression model, assisted by multievaluation model and supported by game theory, this paper establishes an innovative comprehensive credit risk assessment model for small, medium, and micro enterprises.
وصف الملف: text/xhtml
تدمد: 1563-5147
1024-123X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::035699c257ccfbf4697cb72767b492f4
https://doi.org/10.1155/2022/5194443
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....035699c257ccfbf4697cb72767b492f4
قاعدة البيانات: OpenAIRE