DocumentCode :
2837228
Title :
Immune Network Theory Based Artificial Immune System and Its Application
Author :
Dai, Hongwei ; Li, Cunhua
Author_Institution :
Sch. of Comput. Eng., Huaihai Inst. of Technol., Lianyungang, China
fYear :
2009
fDate :
1-3 Nov. 2009
Firstpage :
257
Lastpage :
260
Abstract :
Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, we propose a novel cell-interaction model, in which antibody at idiotypic level i interacts with cells at constant levels alpha1 (index of stimulation cell) and alphaN (index of inhibition cell). Simulations on pattern recognition are performed to evaluate the proposed artificial immune model´s performance.
Keywords :
artificial immune systems; pattern recognition; antibody; artificial immune system; cell-interaction model; eigen-behavior; immune network theory; pattern recognition; Artificial immune systems; Artificial intelligence; Biological system modeling; Computer displays; Image recognition; Immune system; Intelligent networks; Intelligent systems; Pattern recognition; Performance evaluation; application; artificial immune system; immune network theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
Type :
conf
DOI :
10.1109/ICINIS.2009.72
Filename :
5364513
Link To Document :
بازگشت