DocumentCode :
1819132
Title :
Diagnosis: hypothetical reasoning with a competition-based neural architecture
Author :
Wang, Shengrui ; El Ayeb, Bechir
Author_Institution :
Fac. de Sci., Sherbrooke Univ., Que., Canada
Volume :
1
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
7
Abstract :
Diagnosis is an active research area where many diagnostic methods have been proposed. The features that characterize these methods are made explicit in a conventional framework as well as in a neural framework. Specifically, it is shown that each representation type of diagnostic knowledge requires a specific reasoning type whichever framework is adopted, logical or neural. A competition-based neural architecture is proposed to mechanize hypothetical reasoning
Keywords :
diagnostic expert systems; inference mechanisms; neural nets; competition-based neural architecture; diagnostic knowledge; diagnostic methods; hypothetical reasoning; reasoning type; Data analysis; Fault trees; Neural networks; Wide area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.287196
Filename :
287196
Link To Document :
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