An integrated artificial neural networks model for industrial projects risk assessment

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.<
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