Title :
A Clustering Model Inspired by Humoral Immunity
Author :
Tian Yuling ; Ren Peng
Author_Institution :
Coll. of Comput. & software, Taiyuan Univ. of Technol., Taiyuan
Abstract :
In biological immune system, B-cells secrete large numbers of antibodies to recognize and eliminate the antigens. Inspired by the relationship of B-cells and antibodies, an effective immune model is presented in this paper. As its learning capability, this model can recognize not only the existing antigens but also the antigens that are unknown. The structure of the model and the detailed algorithm are given in this paper. And the validity of the model is proved through an experiment of motor fault data clustering.
Keywords :
artificial immune systems; learning (artificial intelligence); pattern clustering; B-cells; antibodies; antigens; biological immune system; clustering model; humoral immunity; learning capability; Biological system modeling; Biology computing; Cells (biology); Cloning; Clustering algorithms; Data mining; Detectors; Educational institutions; Immune system; Plasmas;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072611
