The Research on Risk Evaluation of Real Estate Development Project Based on RBF Neural Network

Author

Ma, Zhi-Qiang ; Meng, Qing-bo

Author_Institution

Sch. of Bus. Adm., Jiangsu Univ., Zhenjiang, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

273

Lastpage

276

Abstract

On the basis of setting up an evaluation index system for the development risk in real estate, this article designs an evaluation model for the development risk in real estate with RBF (radial basis function) neural network. Furthermore the training has been carried out for the neural network through selecting the risk evaluation data of several real estate development projects. The result shows that the model has higher accuracy and credibility and provides a new method for the risk evaluation in real estate development.

Keywords

project management; radial basis function networks; real estate data processing; risk management; evaluation index system; radial basis function neural network; real estate development project; risk evaluation; Artificial neural networks; Cities and towns; Computer networks; Construction industry; Costs; Electronic mail; Feedforward neural networks; Neural networks; Neurons; Radial basis function networks; RBF neural network; real estate development; risk evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.180

Filename

5169064