An improved artificial immune system (AIS) by considering different affinities among Th cells and antigens

Hongwei Dai*, Zheng Tang, Yu Yang

*この論文の責任著者

研究成果: ジャーナルへの寄稿学術論文査読

抄録

This paper introduces a new artificial immune system (AIS) model to pattern recognition. Inspired by natural immune system, we propose the AIS model, by considering not only the B cells' T-cell-dependent and T-cell-independent antigen recognition, but also the different affinities among Th cells and antigens, and apply the model to pattern recognition. We present noisy binary patterns to test its recognition performance. Simulation results indicate that the proposed AIS model has more stable memory capabilities and stronger noise tolerance ability.

本文言語英語
ページ(範囲)389-396
ページ数8
ジャーナルIEEJ Transactions on Electronics, Information and Systems
127
3
DOI
出版ステータス出版済み - 2007

ASJC Scopus 主題領域

  • 電子工学および電気工学

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