Title :
INSIDE: a connectionist case-based diagnostic expert system that learns incrementally
Author :
Lim, J.H. ; Lui, H.C. ; Tan, A.H. ; Teh, H.H.
Author_Institution :
Inst. of Syst. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
The authors describe a connectionist case-based diagnostic expert system that can learn while the system is being used. The system, called INSIDE (Inertial Navigation System Interactive Diagnostic Expert), was developed for Singapore Airlines to assist the technicians in diagnosing the inertial navigation system used by the airplanes. The system learns from past repair cases and adapts its knowledge base to newly solved cases without having to relearn all the old cases
Keywords :
aerospace computing; automatic testing; expert systems; interactive systems; learning systems; navigation; neural nets; INSIDE; Inertial Navigation System Interactive Diagnostic Expert; Singapore Airlines; aerospace computing; aircraft maintenance; automatic testing; connectionist case-based diagnostic expert system; learning systems; Airplanes; Clustering algorithms; Diagnostic expert systems; Expert systems; Flowcharts; Hybrid intelligent systems; Inertial navigation; Knowledge acquisition; Testing; User interfaces;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170663
