Title :
The Design of a Test Expert System for the Network Artificial Chamber
Author_Institution :
Hunan Univ. of Technol., Zhuzhou, China
Abstract :
For a expert system, how to improve testing accuracy is a key question. In order to weed out all parameters´ blunder error, the expert system used data mining based on genetic algorithm, so According to one parameter´s changing we can predict the other parameter´s variation trend. This expert system can effectively improve test accuracy of artificial chamber.
Keywords :
automatic test equipment; data mining; expert systems; genetic algorithms; data mining; genetic algorithm; network artificial chamber; parameter variation; test expert system; testing accuracy; Accuracy; Data mining; Expert systems; Genetic algorithms; Monitoring; Temperature distribution; Testing; artificial chamber; blunder error; data mining; expert system; genetic algorithm;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.723
