Artificial Immune Systems: A Novel Approach to Pattern Recognition

de Castro, Leandro N. and Timmis, Jon (2002) Artificial Immune Systems: A Novel Approach to Pattern Recognition. In: Corchado, Juan Manuel and Alonso, Luis and Fyfe, Colin, eds. Artificial Neural Networks in Pattern Recognition. University of Paisley, pp. 67-84. ISBN 84-95721-22-8. (Full text available)

PDF
Download (180kB)
[img]
Preview

Abstract

This chapter introduces a new computational intelligence paradigm to perform pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration from the immune system in order to build novel computational tools to solve problems in a vast range of domain areas. The basic immune theories used to explain how the immune system perform pattern recognition are described and their corresponding computational models are presented. This is followed with a survey from the literature of AIS applied to pattern recognition. The chapter is concluded with a trade-off between AIS and artificial neural networks as pattern recognition paradigms.

Item Type: Book section
Uncontrolled keywords: artificial immune systems, clonal selection, immune network
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00
Last Modified: 01 Jul 2014 10:26
Resource URI: http://kar.kent.ac.uk/id/eprint/13832 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year