A novel method for extracting knowledge from neural networks with evolving SQL queries

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dc.contributor.author Gongora, Mario Augusto en
dc.contributor.author Elizondo, David en
dc.contributor.author Watson, Tim en
dc.date.accessioned 2008-11-24T13:24:16Z
dc.date.available 2008-11-24T13:24:16Z
dc.date.issued 2005-08-01 en
dc.identifier.citation Gongora, M.A., Watson, T., and Elizondo, D.A. (2005) A novel method for extracting knowledge from neural networks with evolving SQL queries. Lecture Notes in Computer Science, 3697, pp. 497-502.
dc.identifier.issn 0302-9743 en
dc.identifier.issn 1611-3349
dc.identifier.uri http://hdl.handle.net/2086/191
dc.description The work reported in this paper provides the research community with a reliable and robust way to discern the way in which an NN based system makes its decision. It helps researchers tackle the problem of accepting the use of a system which is not understood unless its obscure internal knowledge is extracted and analysed for robustness and coherence. en
dc.language.iso en en
dc.publisher Springer Verlag en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject artificial neural networks
dc.subject structured query language
dc.title A novel method for extracting knowledge from neural networks with evolving SQL queries en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1007/11550907 en
dc.researchgroup Centre for Computational Intelligence
dc.researchgroup DIGITS en
dc.peerreviewed Yes


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