A Study on Neural Network Method for Personal Credit Evaluation

被引：0

作者：

Ren, Hui ^{[1
]}

He, Yujing ^{[2
]}

Chang, Ning ^{[2
]}

机构：

[1] Chinese Peoples Armed Police Force Acad, Dept Force Management, Langfang, Peoples R China

[2] Chinese Peoples Armed Police Force Acad, Dept Fundament, Langfang, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2 | 2009年

关键词：

personal credit; personal credit evaluation; neural network;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper analyses the neural network method for personal credit evaluation. Firstly, it introduces personal credit evaluation and its research. Secondly, it analyses the characteristics of two types of commonly used methods for personal credit evaluation. Then it introduces the structure and characteristics of artificial neural network and puts forward 10 indicators for personal credit evaluation. On this basis, it designs Elman neural network and tries to use this network to evaluate personal credit. According to the results of experimental verification, this personal credit evaluation algorithm shows a high accuracy for the evaluation of personal credit.

引用

页码：1195 / +

页数：2

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