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References (3)
-
D. Rumelhart, James McClelland (1986)
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations -
D. Rumelhart, Geoffrey Hinton, Ronald Williams (1986)
Learning internal representations by error propagation -
J. Hopfield (1982)
Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences of the United States of America, 79 8
- Publisher
- Emerald Publishing
- Copyright
- Copyright © Emerald Group Publishing Limited
- ISSN
- 0143-7720
- DOI
- 10.1108/EUM0000000000897
- Publisher site
- See Article on Publisher Site
Abstract
One of the fastest growing areas of microcomputerapplications is that of expert systems. Within thedomain of expert systems neural networkingtechnology is also making a strong contribution.Personnel officers have to give advice tomanagement and this is usually based on a gooddeal of experience. Expert systems represent away of passing on this knowledge to lessexperienced colleagues so that they too can makesuitable decisions if the more experienced staffare not available. Sometimes expert systems cansurprise the experts who provided information tohelp build the systems. This article looks at aneural networking shell that can be trained toemulate an expert system. Its simplicity of operationand user friendliness is a striking feature.
Journal
International Journal of Manpower – Emerald Publishing
Published: Aug 1, 1991