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A. Ray (1991)
Equipment fault diagnosis—A neural network approachComputers in Industry, 16
J. Hershauer, Ahmer Karim, Heidi Owens, A. Philippakis (1989)
A field observation study of an expert system prototype developmentInf. Manag., 17
R. Poli, S. Cagnoni, R. Livi, G. Coppini, G. Valli (1991)
A neural network expert system for diagnosing and treating hypertensionComputer, 24
H. Jain, A. Chaturvedi (1989)
Expert system problem selection: A domain characteristics approachInf. Manag., 17
Enumerates the factors which decide the feasibility of an expertsystem ES solution based on certain domain characteristics. Explainsthe points to be given importance while going for an ES solution. Anattempt has been made to explain the major differences between DSSsdecision support systems and ESs. The integration of symbolic andconnectivist theories have resulted in the neural network ES, which canlearn and adapt to situations, becoming an emerging trend. Certain factsabout ESs which should be remembered by managers, in general, which canbe treated as a set of guidelines for ES application, are alsoenumerated in the course of the article.
Industrial Management & Data Systems – Emerald Publishing
Published: Apr 1, 1992
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