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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Neural Networks, 1992. IJCNN., International Joint Conference on
         
        
            Conference_Location : 
Baltimore, MD
         
        
            Print_ISBN : 
0-7803-0559-0
         
        
        
            DOI : 
10.1109/IJCNN.1992.287196