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 |
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ページ(範囲) | 389-396 |
ページ数 | 8 |
ジャーナル | IEEJ Transactions on Electronics, Information and Systems |
巻 | 127 |
号 | 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