Watkins, Andrew and Boggess, Lois C.
A New Classifier Based on Resource Limited Artificial Immune Systems.
The 2002 IEEE World Congress on Computational Intelligence.
IEEE, University of Michigan
This paper presents a new tool for supervised learning, modeled on resource limited Artificial Immune Systems. A supervised learning system, it is self-regulatory, efficient, and stable under a wide range of user-set parameters. Its performance is comparable to well-established classifiers on a variety of testbeds, including the iris data, the diabetes classification problem, the ionosphere problem, and the rock/metal classification problem for mine detection.
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