A Research on Evaluating Project Management Maturity Based on Genetic BP Neural Network Data Mining Method

Author

Li Jue ; Guo Lixin

Author_Institution

Sch. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China

Volume

3

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

477

Lastpage

480

Abstract

Project management maturity is the reflection of enterprise project management level. Accurately evaluating project management maturity is significant for improving the competitiveness of Chinese construction companies. Firstly, combined with knowledge and characteristics of project management and enterprise practices, an enterprise project management maturity level model is proposed, and evaluation index system is established. Then considering the mining method based on neural networks has a good adaptability with incomplete information and the genetic algorithm has the characteristics of strong global search ability, two above-mentioned methods are combined to evaluate project management maturity. Finally, the example proves the validity of the model.

Keywords

construction industry; data mining; genetic algorithms; neural nets; production engineering computing; project management; query formulation; Chinese construction companies; Data Mining; enterprise practices; enterprise project management; evaluation index system; genetic BP neural network; genetic algorithm; global search ability; project management maturity; Artificial neural networks; Contracts; Gallium; Genetics; Indexes; Organizations; Project management; BP neural networks; data mining; evaluation indexes; genetic algorithms; project management maturity;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.338

Filename

5656526