Croatica Chemica Acta, Vol. 78 No. 4, 2005.
Conference paper
Extraction of Comprehensible Logical Rules from Neural Networks. Application of TREPAN in Bio and Chemoinformatics
Brian D. Hudson
David C. Whitley
Antony Browne
Martyn G. Ford
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.
Keywords
bioinformatics; chemoinformatics; neural networks; rule induction; decision trees
Hrčak ID:
2544
URI
Publication date:
20.12.2005.
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