资源有限的人工免疫分类器

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1007049

A. Watkins, L. Boggess

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引用次数: 282

摘要

本文提出了一种受免疫系统机制启发的新的监督学习范式。这项工作提供了一种资源有限的人工免疫分类算法的解释，名为AIRS(人工免疫识别系统)，并提供了模拟数据集的结果来演示该算法的基本行为。

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A resource limited artificial immune classifier

This paper presents a new supervised learning paradigm inspired by mechanisms exhibited in immune systems. This work provides an explication of a resource limited artificial immune classification algorithm, named AIRS (Artificial Immune Recognition System), and provides results on simulated data sets to demonstrate the fundamental behavior of the algorithm.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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