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Construction and Application Research of Isomap-RVM Credit Assessment Model
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-16
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Credit assessment is the basis and premise of credit risk management systems.
Accurate and scientific credit assessment is of great significance to the operational decisions of shareholders, corporate creditors, and management.
Building a good and reliable credit assessment model is key to credit assessment.
Traditional credit assessment models are constructed using the support vector machine (SVM) combined with certain traditional dimensionality reduction algorithms.
When constructing such a model, the dimensionality reduction algorithms are first applied to reduce the dimensions of the samples, so as to prevent the correlation of the samples’ characteristic index from being too high.
Then, machine learning of the samples will be conducted using the SVM, in order to carry out classification assessment.
To further improve the accuracy of credit assessment methods, this paper has introduced more cutting-edge algorithms, applied isometric feature mapping (Isomap) for dimensionality reduction, and used the relevance vector machine (RVM) for credit classification.
It has constructed an Isomap-RVM model and used it to conduct financial analysis of China's listed companies.
The empirical analysis shows that the credit assessment accuracy of the Isomap-RVM model is significantly higher than that of the Isomap-SVM model and slightly higher than that of the PCA-RVM model.
It can correctly identify the credit risks of listed companies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tong, Guangrong& Li, Siwei. 2015. Construction and Application Research of Isomap-RVM Credit Assessment Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073195
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tong, Guangrong& Li, Siwei. Construction and Application Research of Isomap-RVM Credit Assessment Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073195
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tong, Guangrong& Li, Siwei. Construction and Application Research of Isomap-RVM Credit Assessment Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073195
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073195
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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