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Rule extraction from local cluster neural nets

✍ Scribed by Robert Andrews; Shlomo Geva


Book ID
114296009
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
304 KB
Volume
47
Category
Article
ISSN
0925-2312

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This paper describes a method of extracting diagnostic rules from trained diagnostic feedforward neural nets that are constructed to recognise di!erent mechanical faults using automated weight and structure learning algorithms. The rule extracting method is based on an interpretation that considers