Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics

Brian Hudson; David Whitley; A. Browne; M. Ford

Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics

Brian Hudson, David Whitley, A. Browne, M. Ford

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Abstract

TREPAN is an algorithm for the extraction of comprehensible rules from trained neural networks. The method has been applied successfully to biological sequence (bioinformatics) problems. It has now been extended to handle chemoinformatics (QSAR) datasets. The method has been shown to have advantages over traditional symbolic rule induction methods such as C5. Results obtained for bioinformatics and chemoinformatics problems using the TREPAN algorithm are presented.

Original language	English
Pages (from-to)	557-561
Number of pages	5
Journal	Croatica Chemica Acta
Volume	78
Issue number	4
Publication status	Published - 2005

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title = "Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics",

abstract = "TREPAN is an algorithm for the extraction of comprehensible rules from trained neural networks. The method has been applied successfully to biological sequence (bioinformatics) problems. It has now been extended to handle chemoinformatics (QSAR) datasets. The method has been shown to have advantages over traditional symbolic rule induction methods such as C5. Results obtained for bioinformatics and chemoinformatics problems using the TREPAN algorithm are presented.",

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AU - Ford, M.

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AB - TREPAN is an algorithm for the extraction of comprehensible rules from trained neural networks. The method has been applied successfully to biological sequence (bioinformatics) problems. It has now been extended to handle chemoinformatics (QSAR) datasets. The method has been shown to have advantages over traditional symbolic rule induction methods such as C5. Results obtained for bioinformatics and chemoinformatics problems using the TREPAN algorithm are presented.

M3 - Article

SN - 0011-1643

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EP - 561

JO - Croatica Chemica Acta

JF - Croatica Chemica Acta

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ER -

Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics

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