An improved artificial immune recognition system based on the average scatter matrix trace criterion

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Abstract

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. © 2012 Springer-Verlag.

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Fu, X., & Zhang, S. (2012). An improved artificial immune recognition system based on the average scatter matrix trace criterion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7331 LNCS, pp. 284–290). https://doi.org/10.1007/978-3-642-30976-2_34

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