Image learning classifier system using genetic algorithms

Alastair D. McAulay, Jae C Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The authors examine aspects of machine learning by classifier systems that use genetic algorithms. In particular, adaptive image learning and classification are considered. Standard classifier systems are not well suited for seeking out multiple goals as is necessary in image learning and classification problems. To improve the performance of standard classifier systems for the image learning task, several modifications are suggested. The modifications result in a far better performance for classifier system on the ImageLearn domain.

Original languageEnglish (US)
Title of host publicationIEEE Proceedings of the National Aerospace and Electronics Conference
Editors Anon
PublisherIEEE Computer Society
Pages705-710
Number of pages6
Volume2
StatePublished - 1989
Externally publishedYes
EventProceedings of the IEEE 1989 National Aerospace and Electronics Conference - NAECON 1989 - Dayton, OH, USA
Duration: May 22 1989May 26 1989

Other

OtherProceedings of the IEEE 1989 National Aerospace and Electronics Conference - NAECON 1989
CityDayton, OH, USA
Period5/22/895/26/89

ASJC Scopus subject areas

  • Engineering(all)

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