An integrated artificial neural networks model for industrial projects risk assessment

Author

Gaber, M. Tarek ; Rabelo, Luis C. ; Hosny, Ossama A.

Author_Institution

Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA

fYear

1992

fDate

25-28 Oct 1992

Firstpage

206

Lastpage

210

Abstract

The authors propose integrating artificial neural networks (ANNs) with knowledge-based systems (KBSs) to improve risk assessment for new project evaluation. The use of an ANN for classifying new industrial projects according to their risk is examined. This application uses a self-organizing paradigm, ART2. The performance of the ANN was compared to expert classification; the network correctly classified most of the projects considered. The results show a great potential for ANNs to improve decision making in this field

Keywords

knowledge based systems; project management; risk management; self-organising feature maps; ART2; decision making; industrial projects; integrated artificial neural networks; knowledge-based systems; model; project evaluation; risk assessment; self-organizing paradigm; Artificial neural networks; Costs; Decision making; Knowledge based systems; Pattern recognition; Research and development management; Risk analysis; Risk management; Systems engineering and theory; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering Management Conference, 1992. Managing in a Global Environment., 1992 IEEE International

Conference_Location

Eatontown, NJ

Print_ISBN

0-7803-0854-9

Type

conf

DOI

10.1109/IEMC.1992.225237

Filename

225237