USING GA FOR LEARNING IN FCC EXPERT SYSTEM
Chen En · Journal of Computer Research and Development · 1997
This paper introduces GAFMLS (GA based Fault Matrix Learning System), which applies GA into the FCC expert system to learn a near optimal fault matrix used in the FCC fault diagnosis process. The practical running results show that more effective fault matrixes can be generated by GAFMLS, and the reliability and precision of the FCC expert system are improved.