KNOWLEDGE EXTRACTION FROM RISE-TIME AUTO-CORRELATED PATTERNS
2008 ◽
Vol 05
(02)
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pp. 181-187
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Keyword(s):
Data Set
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In this paper, the author presents an approach for automated knowledge extraction from rise time auto-correlated patterns by using self-organizing maps and k-means clustering. The extracted knowledge in terms of rules will be used as knowledge base for an expert system. Rise-time auto-correlated data patterns are used as a learning data set. The produced knowledge based was verified by using a conventional expert system.
2005 ◽
Vol 9
(6)
◽
pp. 693-697
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1996 ◽
Vol 35
(01)
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pp. 41-51
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Keyword(s):
2019 ◽
Vol 7
(6)
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pp. 52-55
1989 ◽
Vol 9
(3-4)
◽
pp. 371-388
1992 ◽
Vol 5
(5)
◽
pp. 425-430
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