Comparison of a multi-layered artificial immune system with a Kohonen Network

T. Knight*, J. Timmis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

4 Citations (SciVal)

Abstract

We present a novel multi-layered unsupervised learning artifical immune system (MARIA). We have employed vector quantisation to augment MARIA (and Kohonen Networks) to allow for a comparison of performance between the two systems. Analysis shows that MARIA is competitive with Kohonen Networks on some clustering tasks.

Original languageEnglish
Title of host publication2007 IEEE Congress on Evolutionary Computation, CEC 2007
PublisherIEEE Press
Pages3735-3742
Number of pages8
ISBN (Print)1424413400, 9781424413409
DOIs
Publication statusPublished - 2007
Event2007 IEEE Congress on Evolutionary Computation, CEC 2007 - , Singapore
Duration: 25 Sept 200728 Sept 2007

Publication series

Name2007 IEEE Congress on Evolutionary Computation, CEC 2007

Conference

Conference2007 IEEE Congress on Evolutionary Computation, CEC 2007
Country/TerritorySingapore
Period25 Sept 200728 Sept 2007

Keywords

  • artificial immune systems
  • cloning
  • evolutionary computation
  • virtual colonoscopy
  • size control

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