Exploiting parallelism inherent in AIRS an artificial immune classifier

Andrew Watkins, Jon Timmis

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddPennod

68 Dyfyniadau(SciVal)

Crynodeb

The mammalian immune system is a highly complex, inherently parallel, distributed system. The field of Artificial Immune Systems (AIS) has developed a wide variety of algorithms inspired by the immune system, few of which appear to capitalize on the parallel nature of the system from which inspiration was taken. The work in this paper presents the first steps at realizing a parallel artificial immune system for classification. A simple parallel version of the classification algorithm Artificial Immune Recognition System (AIRS) is presented. Initial results indicate that a decrease in overall runtime can be achieved through fairly naïve techniques. The need for more theoretical models of the behavior of the algorithm is discussed.

Iaith wreiddiolSaesneg
TeitlLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
GolygyddionGiuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis
CyhoeddwrSpringer Nature
Tudalennau427-438
Nifer y tudalennau12
ISBN (Argraffiad)3540230971, 9783540230977
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2004

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol3239
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

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