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Farmer’s Credit Rating Model and Application Based on Multilayer Unified Network with Linear Classifier
المؤلفون المشاركون
Pang, Sulin
Wang, Shouyang
Xia, Lianhu
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-14
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
This article innovatively builds the infrastructure of farmer credit rating index system into a multilevel unidirectional network structure.
First, according to the logical structure of the three-level credit rating index system, a four-level unidirectional network is constructed, and the credit rating calculation formulas of all indexes at the four-level network are established.
Furthermore, the special cases of the credit rating formula with the first- and second-level farmer credit rating index system are discussed.
On this basis, it is extended to a credit rating index system with more than four levels, and the corresponding credit rating formula is established.
Finally, the general formula of credit rating formula of the farmer credit rating index system from first level to multilevel is obtained.
In order to solve the problem of farmers' credit rating, this paper also designs a linear segmentation classifier to classify the results of multilayer unidirectional network, establishes the rules of farmers' credit rating and the unidirectional network linear segmentation evaluation model of farmers' credit rating, and discusses the properties of bank credit based on farmers’ credit rating.
Finally, the model established in this paper is applied to the credit rating of farmers in A County, Guangdong Province in China.
When the credit rating of 160 farmers is carried out, the evaluation results are in line with the actual credit rating of farmers in A County, with an accuracy of 100%.
This research has the maneuverability to carry on the scientific credit rating to the countryside.
This study has important method guidance and operability for rural credit rating.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pang, Sulin& Wang, Shouyang& Xia, Lianhu. 2020. Farmer’s Credit Rating Model and Application Based on Multilayer Unified Network with Linear Classifier. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1143555
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pang, Sulin…[et al.]. Farmer’s Credit Rating Model and Application Based on Multilayer Unified Network with Linear Classifier. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1143555
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pang, Sulin& Wang, Shouyang& Xia, Lianhu. Farmer’s Credit Rating Model and Application Based on Multilayer Unified Network with Linear Classifier. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1143555
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143555
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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