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
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;
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
DOI :
10.1109/ICCIS.2008.4670823
