DocumentCode :
288608
Title :
Design and development of hybrid neural network and expert systems
Author :
Medsker, Larry
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., American Univ., Washington, DC, USA
Volume :
3
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
1470
Abstract :
The complementary features of neural networks and expert systems allow the combination of these two technologies to make more powerful systems than can be built with either of the two alone. Models and guidelines for choosing and developing appropriate hybrid systems are emerging as successful applications appear. This paper summarizes the progress in the development of integrated neural network and expert systems
Keywords :
expert systems; neural nets; guidelines; hybrid neural network/expert systems; models; Artificial neural networks; Computer science; Expert systems; Guidelines; Humans; Information systems; Knowledge acquisition; Neural networks; Power system modeling; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374503
Filename :
374503
Link To Document :
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