An Improved Artificial Immune Recognition System Based on the Average Scatter Matrix Trace Criterion

  • Xiaoyang Fu
  • Shuqing Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7331)


This paper proposed an improved artificial immune recognition system (IAIRS) based on the average scatter matrix trace (ASMT) criterion. In essence, the artificial immune recognition system (AIRS) is an evolving algorithm. Through clonal expansion, affinity maturation, resource competition and immune memory etc, a set of new samples (memory cells) is produced. The ASMT of memory cells will be decreased and the minimized ASMT can be as the optimal criterion of AIRS. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.


artificial immune recognition system scatter matrix trace pattern classification 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xiaoyang Fu
    • 1
  • Shuqing Zhang
    • 2
  1. 1.Department of Computer Science and TechnologyZhuhai College of Jilin UniversityZhuhaiChina
  2. 2.Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchunChina

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