INSIDE: A connectionist case-based diagnostic expert system that learns incrementally

Joo-Hwee LIM
Ho-Chung LUI
Ah-hwee TAN, Singapore Management University
Hoon-Heng TEH

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.