DocumentCode
2372825
Title
An improved artificial immune recognition system
Author
Fu, Xiaoyang ; Zhang, Shuqing
Author_Institution
Dept. of Comput. Sci. & Technol., Zhuhai Coll. of Jilin Univ., Zhuhai, China
fYear
2012
fDate
23-25 March 2012
Firstpage
660
Lastpage
662
Abstract
This paper proposed an improved artificial immune recognition system (IAIRS). It takes multi-training that the affinity threshold scalar ATS is adjusted automatically instead of one shot training, and modifies the criterion of evolving memory cells pool that the affinity threshold AT is only calculated over all samples with the class as the training sample. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.
Keywords
artificial immune systems; IAIRS algorithm; affinity threshold scalar ATS; improved artificial immune recognition system; memory cells pool; multitraining; shot training; Accuracy; Benchmark testing; Classification algorithms; Diabetes; Ionosphere; Iris; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-0343-0
Type
conf
DOI
10.1109/ICIST.2012.6221728
Filename
6221728
Link To Document