Title :
A resource limited artificial immune classifier
Author :
Watkins, Andrew B. ; Boggess, Lois C.
Author_Institution :
Comput. Lab., Kent Univ., Canterbury, UK
Abstract :
This paper presents a new supervised learning paradigm inspired by mechanisms exhibited in immune systems. This work provides an explication of a resource limited artificial immune classification algorithm, named AIRS (Artificial Immune Recognition System), and provides results on simulated data sets to demonstrate the fundamental behavior of the algorithm
Keywords :
biocybernetics; evolutionary computation; learning (artificial intelligence); pattern classification; AIRS; artificial immune recognition system; immune systems; resource limited artifical immune classillcation; supervised learning paradigm; Biological system modeling; Classification algorithms; Cloning; Computational modeling; Computer science; Equations; Euclidean distance; Immune system; Laboratories; Supervised learning;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007049
