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
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;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639576
