id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qvv26xmtsbdulp6dyp5qod2yne	Ai Li	A new approach for rule extraction of expert system based on SVM	2014	3	.pdf	application/pdf	1474	128	59	A new approach for rule extraction of expert system based on SVM A new approach for rule extraction of expert system based extract knowledge rules from Support Vector Clustering (SVC). is to choose the features of the sample data by using Genetic Algorithm for improving the The new method is used to extract knowledge rules for aero-engine oil monitoring expert system, and the results show that the new method can effectively extract knowledge rules If data mining is applied to an expert system and if the knowledge rules are extracted http://www.elsevier.com/locate/measurement method is proposed to extract knowledge rules from SVC. samples into a high-dimensional feature space to get optimal separating hyper-planes and SVs. Finally, the hyperrectangles are constructed using the Clustering Distribution Matrix of the data obtained by the SVC, and the if-then 2. Knowledge rules extracting method based on GA_SVC	./cache/work_qvv26xmtsbdulp6dyp5qod2yne.pdf	./txt/work_qvv26xmtsbdulp6dyp5qod2yne.txt