Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7701
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dc.contributor.authorWong Man Leungen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.date.accessioned2023-03-30T06:25:59Z-
dc.date.available2023-03-30T06:25:59Z-
dc.date.issued1995-
dc.identifier.citationIEEE expert, 1995, vol. 10 (5), pp. 68 - 76en_US
dc.identifier.issn08859000-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7701-
dc.description.abstractThe Genetic Logic Programming System (GLPS) is a novel framework that combines the learning power of genetic algorithms and the knowledge representation power of logic programming to overcome the shortcomings of existing paradigms. The performance of GLPS is demonstrated through testing of a preliminary implementation on a battery of learning tasks.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE experten_US
dc.titleInducing logic programs with genetic algorithms: the genetic logic programming systemen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1109/64.464935-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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