A Rule Extraction Algorithm That Scales Between Fidelity and Comprehensibility
Fidelity and comprehensibility are the common measures used in the evaluation of rules extracted from neural networks. However, these two measures are found to be inverse relations of one another. Since the needs of comprehensibility or fidelity may vary depending on the user or application, this pa...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Science Alert
2012
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Subjects: | |
Online Access: | http://eprints.intimal.edu.my/1003/1/A%20rule%20extraction%20algorithm%20that%20scales%20between%20fidelity%20and%20comprehensibility.pdf http://eprints.intimal.edu.my/1003/ http://scialert.net/abstract/?doi=ajsr.2012.121.132 |
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