DocumentCode
3142986
Title
Learning the affinity measure in real and artificial immune systems
Author
Raudys, Sarunas ; Arasimavicius, Justas ; Biziuleviciene, Gene
Author_Institution
Dept. of Math. & Inf., Vilnius Univ., Vilnius, Lithuania
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2904
Lastpage
2908
Abstract
The paper considers the affinity measures to be adapted to varying requirements of artificial immune system functioning in dynamic changing world. It shown that the affinity measure could be learned by standard evolution procedure. Simulation experiments with two real world data sets indicate effectiveness of the suggested approach.
Keywords
artificial immune systems; learning (artificial intelligence); affinity measures; artificial immune system; learning; Artificial immune systems; Classification algorithms; Detectors; Measurement; Support vector machine classification; Training; affinity; artificial immune systems; fitness; learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639576
Filename
5639576
Link To Document