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An Affinity Based Complex Artificial Immune System
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Author(s): Wei Wang (Nankai University, China), Mei Chang (Neusoft Institute of Information, China), Xiaofei Wang (University of Toyama, Japan)and Zheng Tang (Toyama University, Japan)
Copyright: 2013
Pages: 13
Source title:
Modern Library Technologies for Data Storage, Retrieval, and Use
Source Author(s)/Editor(s): Chia-Hung Wei (Ching Yun University, Taiwan)
DOI: 10.4018/978-1-4666-2928-8.ch012
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Abstract
This paper proposes an affinity based complex artificial immune system considering the fact that the different eptitopes located on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells. A neighborhood set consisting of immune cells with different affinities to a certain input antigen is built to simulate the nature immune behavior. Furthermore, the complex numbers are adopted as the data representation, besides the weight between different layers. In the simulations, the recognition on transformation patterns is performed to illustrate that the proposed system is capable of recognizing the transformation patterns and it has obviously higher noise tolerance ability than the previous system models.
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