Study on Selecting the Infrastructure Project Financing Mode Based on Rough Sets and BP Neural Network

Author

Zhao Hui ; Wang Xue-qing

Author_Institution

Sch. of Manage., Tianjin Univ., Tianjin, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

3

Abstract

A new method based on the integration of rough set theory (RS) and Back Propagation (BP) neural network is put forward for selecting the infrastructure project financing mode. Firstly, the continuous attributes in the decision system are discretized with self-organizing map (SOM) neural network. Then, the remained indicators are found by using rough set theory to reduce attributes and eliminate superfluous data. And then, BP neural network is used to evaluate the infrastructure project financing modes. In order to grasp this method better, finally, the paper provides a case to demonstrate the application of this method in selecting the infrastructure project financing mode.

Keywords

backpropagation; construction; financial management; rough set theory; self-organising feature maps; BP neural network; SOM neural network; backpropagation neural network; decision system; infrastructure project financing mode; rough set theory; self-organizing map; Decision making; Educational institutions; Electronic mail; Financial management; Information systems; Neural networks; Neurons; Project management; Rough sets; Set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5364374

Filename

5364374