A Rule Extraction Algorithm That Scales Between Fidelity and Comprehensibility

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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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Bibliographic Details
Main Authors:	Muthu Anbananthen, Kalaiarasi Sonai, Chan, Fabian Huan Pheng*, Subramaniam, Subhacini, Eimad Eldin, Abdu Ali Abusham
Format:	Article
Language:	English
Published:	Science Alert 2012
Subjects:	QA76 Computer software
Online Access:	http://eprints.intimal.edu.my/1003/ http://eprints.intimal.edu.my/1003/1/A%20rule%20extraction%20algorithm%20that%20scales%20between%20fidelity%20and%20comprehensibility.pdf

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