DocumentCode
3350647
Title
An immune algorithm based on danger model
Author
Zhang, Chenggong ; Liu, Guisong ; Hu, Wang
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
242
Lastpage
247
Abstract
A new immune algorithm inspired from danger model is proposed. The algorithm adopts two novel mechanisms, namely variable danger zone and danger signal, which provide the algorithm with self adaptive learning in such a way that the antibodies and antigens mutual interact through a defense-offense-like manner. Several experiments are carried out to valuate the proposed algorithm. Results show that our algorithm exhibits high accuracy in solving online classification problems.
Keywords
artificial immune systems; unsupervised learning; danger model; danger signal mechanism; online classification; self adaptive learning immune algorithm; variable danger zone mechanism; Algorithm design and analysis; Biological system modeling; Computational intelligence; Computer science; Immune system; Interference; Laboratories; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1673-8
Electronic_ISBN
978-1-4244-1674-5
Type
conf
DOI
10.1109/ICCIS.2008.4670823
Filename
4670823
Link To Document