Investigating the evolution and stability of a resource limited artificial immune system.

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dc.contributor.author Timmis, John
dc.contributor.author Neal, Mark
dc.date.accessioned 2006-03-30T09:07:28Z
dc.date.available 2006-03-30T09:07:28Z
dc.date.issued 2000
dc.identifier.citation Timmis , J & Neal , M 2000 , ' Investigating the evolution and stability of a resource limited artificial immune system. ' pp. 40-41 . en
dc.identifier.other PURE: 67276
dc.identifier.other dspace: 2160/87
dc.identifier.uri http://hdl.handle.net/2160/87
dc.description Timmis J and Neal M J. Investigating the evolution and stability of a resource limited artificial immune system. In Proceedings of GECCO - special workshop on artificial immune systems, pages 40-41. AAAI press, 2000. en
dc.description.abstract This paper presents a resource limited artificial immune system for data analysis. The work presented here builds upon previous work on artificial immune systems for data analysis. A population control mechanism, inspired by the natural immune system, has been introduced to control population growth and allow termination of the learning algo- rithm. The new algorithm is presented, along with the immunological metaphors used as inspiration. Results are presented for the Fisher Iris data set, where very successful results are obtained in identifying clusters within the data set. It is argued that this new resource based mechanism is a large step forward in making artificial immune systems a viable contender for effective unsupervised machine learning and allows for not just a one shot learning mechanism, but a continual learning model to be developed. en
dc.format.extent 2 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Investigating the evolution and stability of a resource limited artificial immune system. en
dc.type Text en
dc.type.publicationtype Conference contribution en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Non peer reviewed en


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