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