The research & application on the credit appraisal model of architecture enterprise by the GA-BP neural network

被引：0

作者：

Yan F.-G. ^{[1
]}

Fu L.-P. ^{[1
]}

机构：

[1] Public Resources Management Research Center, School of Management Tianjin University, Tianjin

来源：

Key Engineering Materials | 2016年 / 693卷

关键词：

Bp Neural Network; Credit Appraisal Method; Factor Analysis; Genetic Algorithm;

D O I：

10.4028/www.scientific.net/KEM.693.2022

中图分类号：

学科分类号：

摘要：

According to index selection principle, and considering the process of selection as well as the characteristics of the architecture enterprise, this paper establishes a set of comparatively rational index appraisal system. Based on method of primary component analysis, we obtain the components from credit appraisal index of 24 architecture enterprises. It singles out the GA-BP Neural Network as the credit appraisal method of architecture enterprise, sets up a credit appraisal model of architecture enterprise, and finally verifies the practical and scientific attribute of the model. © 2016 Trans Tech Publications, Switzerland.

引用

页码：2022 / 2030

页数：8

共 10 条

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