A resource limited artificial immune system for data analysis

John Timmis, Mark Neal

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid


This paper presents a resource limited artificial immune system (RLAIS) for data analysis. The work presented here builds upon previous work on artificial immune systems (AIS) 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 algorithm. The new algorithm is presented, along with the immunological metaphors used as inspiration. Results are presented for 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 AISs 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.
Iaith wreiddiolSaesneg
Tudalennau (o-i)121-130
Nifer y tudalennau10
CyfnodolynKnowledge-Based Systems
Rhif cyhoeddi3-4
Dyddiad ar-lein cynnar22 Mai 2001
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Meh 2001

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