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An integrated artificial neural networks model for industrial projects risk assessment

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3 Author(s)
M. T. Gaber ; Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA ; L. C. Rabelo ; O. A. Hosny

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

Published in:

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

Date of Conference:

25-28 Oct 1992