Artificial immune classifier with swarm learning

作者: Ilhan Aydin , Mehmet Karakose , Erhan Akin

DOI: 10.1016/J.ENGAPPAI.2010.06.007

关键词:

摘要: … In this study, a new artificial immune classifier with swarm learning is proposed to solve these three problems. The proposed algorithm uses the swarm learning to evolve the antibody …

参考文章(38)
Leandro Nunes de Castro, Fernando J. Von Zuben, aiNet: An Artificial Immune Network for Data Analysis IGI Global. pp. 231- 260 ,(2002) , 10.4018/978-1-930708-25-9.CH012
Frederick W. King, Discrete Hilbert transforms Hilbert transforms. pp. 637- 683 ,(2009) , 10.1017/CBO9780511721458.014
Data Mining: A Heuristic Approach Idea Group Pub. : Information Science Pub.. ,(2002) , 10.4018/978-1-93070-825-9
Jerne Nk, Towards a network theory of the immune system. Annales De L'institut Pasteur. Immunologie. ,vol. 125, pp. 373- 389 ,(1974)
Fabio A. González, Dipankar Dasgupta, Anomaly Detection Using Real-Valued Negative Selection Genetic Programming and Evolvable Machines. ,vol. 4, pp. 383- 403 ,(2003) , 10.1023/A:1026195112518
A.B. Watkins, L.C. Boggess, A resource limited artificial immune classifier congress on evolutionary computation. ,vol. 1, pp. 926- 931 ,(2002) , 10.1109/CEC.2002.1007049
T.M. Blackwell, P. Bentley, Don't push me! Collision-avoiding swarms congress on evolutionary computation. ,vol. 2, pp. 1691- 1696 ,(2002) , 10.1109/CEC.2002.1004497
B. Samanta, C. Nataraj, Use of particle swarm optimization for machinery fault detection Engineering Applications of Artificial Intelligence. ,vol. 22, pp. 308- 316 ,(2009) , 10.1016/J.ENGAPPAI.2008.07.006
Alan S. Perelson, Immune Network Theory Immunological Reviews. ,vol. 110, pp. 5- 36 ,(1989) , 10.1111/J.1600-065X.1989.TB00025.X