Neural Networks for Decision Support: Problems and Opportunities

Neural networks offer an approach to computing which - unlike conventionalprogramming - does not necessitate a complete algorithmic specification. Furthermore,neural networks provide inductive means for gathering, storing, andusing, experiential knowledge. Incidentally, these have also been some of thefundamental motivations for the development of decision support systems ingeneral. Thus, the interest in neural networks for decision support is immediateand obvious. In this paper, we analyze the potential contribution of neuralnetworks for decision support, on one hand, and point out at some inherent constraintsthat might inhibit their use, on the other. For the sake of completenessand organization, the analysis is carried out in the context of a general-purposeDSS framework that examines all the key factors that come into play in thedesign of any decision support system.

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