Title :
Study on Credit Classification of Practicing Qualification Personnel in Construction Market Based on BP Neural Network
Author :
Fan, Zhiqing ; Wang, Xueqing ; Shi, Ye
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
The paper introduces BP neural network technology and establishes the evaluation index system of credit of practicing qualification personnel in construction market based on relevant characteristics. Then a classification model of the two kinds of practicing qualification personnel based on BP neural network technology is proposed. In order to test the validity of the classification model, the paper conducts an empirical study on 60 practicing qualification personnel and the results confirm that BP neural network is a simple and valid method which is appropriate for the credit classification of practicing qualification personnel, and it has settle well theoretical foundation for credit management of practicing personnel.
Keywords :
backpropagation; construction industry; financial data processing; neural nets; pattern classification; BP neural network; backpropagation; construction market; credit classification model; credit evaluation index system; credit management; practicing qualification personnel; Artificial neural networks; Conference management; Construction industry; Engineering management; Innovation management; Neural networks; Neurons; Personnel; Qualifications; Technology management; BP Neural Network; Classification; Credit; Practicing qualification personnel;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.350
