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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-0343-0
DOI :
10.1109/ICIST.2012.6221728
