TY  - JOUR
AB  - One of the fastest growing areas of microcomputer
applications is that of expert systems. Within the
domain of expert systems neural networking
technology is also making a strong contribution.
Personnel officers have to give advice to
management and this is usually based on a good
deal of experience. Expert systems represent a
way of passing on this knowledge to less
experienced colleagues so that they too can make
suitable decisions if the more experienced staff
are not available. Sometimes expert systems can
surprise the experts who provided information to
help build the systems. This article looks at a
neural networking shell that can be trained to
emulate an expert system. Its simplicity of operation
and user friendliness is a striking feature.
VL  - 12
IS  - 8
SN  - 0143-7720
DO  - 10.1108/EUM0000000000897
UR  - https://doi.org/10.1108/EUM0000000000897
AU  - Proctor R. A.
PY  - 1991
Y1  - 1991/01/01
TI  - An Expert System to Aid in Staff Selection: A Neural Network Approach
T2  - International Journal of Manpower
PB  - MCB UP Ltd
SP  - 18
EP  - 21
Y2  - 2024/04/25
ER  -