dc.contributor.authorBlachnik, Marcin
dc.contributor.authorKordos, Miroslaw
dc.contributor.authorDuch, Włodzisław
dc.date.accessioned2013-11-01T02:59:45Z
dc.date.available2013-11-01T02:59:45Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationBlachnik, M., Kordos, M., & Duch, W. (2012). Extraction of prototype-based threshold rules using neural training procedure. 22nd International Conference on Artificial Neural Networks, ICANN 2012, pp.255-262.en_US
dc.identifier.urihttp://hdl.handle.net/10220/17209
dc.description.abstractComplex neural and machine learning algorithms usually lack comprehensibility. Combination of sequential covering with prototypes based on threshold neurons leads to a prototype-threshold based rule system. This kind of knowledge representation can be quite efficient, providing solutions to many classification problems with a single rule.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleExtraction of prototype-based threshold rules using neural training procedureen_US
dc.typeConference Paper
dc.contributor.conferenceInternational Conference on Artificial Neural Networks (22nd : 2012 : Lausanne, Switzerland)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-33266-1_32


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record