DocumentCode :
2481653
Title :
IT Project risk assessment with GCPSO-based artificial neural network
Author :
Wen, Lei
Author_Institution :
Dept. of Econ. Manage., North China Electr. Power Univ., Baoding
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
2023
Lastpage :
2026
Abstract :
The IT projects risk assessment is a focus problem of the practice and theories research of IT project management. In this paper, a set of index system of IT project risk assessment is established. Based on the index system, an integration classifier with GCPSO-based artificial neural network is established to assess IT projects risk in project management. At last, an experiment is given and BP neural network is also used to compare with the GCPSO-based ANN with the same data. The experimental results show that integration classifier with GCPSO-based artificial neural network is effective in risk assessment and achieves better performance than BP neural network.
Keywords :
backpropagation; information technology; neural nets; particle swarm optimisation; project management; risk management; IT project management; IT project risk assessment; artificial neural network; backpropagation neural network; index system; information technology; integration classifier; particle swarm optimisation; Artificial neural networks; Automation; Computer applications; Energy management; Intelligent control; Neural networks; Power system management; Project management; Risk management; Roads; Artificial Neural Network; GCPSO; IT Project; Risk Assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593235
Filename :
4593235
Link To Document :
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