Affinity Based Lateral Interaction Artificial Immune System

Hongwei DAI
Zheng TANG
Yu YANG
Hiroki TAMURA

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D    No.4    pp.1515-1524
Publication Date: 2006/04/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.4.1515
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Human-computer Interaction
Keyword: 
immune systems,  affinity,  artificial immune system,  pattern recognition,  

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Summary: 
Immune system protects living body from various attacks by foreign invades. Based on the immune response principles, we propose an improved lateral interaction artificial immune system model in this paper. Considering that the different epitopes on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells, we build a neighborhood set that consists of immune cells with different affinities to a certain input antigen. We update all the weights of the immune cells located in neighborhood set according to their affinities. Simulations on noisy pattern recognition illustrate that the proposed artificial immune system model has stronger noise tolerance ability and is more effective at recognizing noisy patterns than that of our previous models.

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