An Improved Artificial Immune System (AIS) by Considering Different Affinities among Th Cells and Antigens

• Dai Hongwei

  Faculty of Engineering, Toyama University

• Tang Zheng

  Faculty of Engineering, Toyama University

• Yang Yu

  Tele Electric Supply Service Co. Ltd.

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.

収録刊行物

• 電気学会論文誌Ｃ（電子・情報・システム部門誌）

  電気学会論文誌Ｃ（電子・情報・システム部門誌） 127 (3), 389-396, 2007

  一般社団法人 電気学会

キーワード

• immune cells
• immune response
• affinity
• artificial immune system
• pattern recognition

詳細情報

• CRID: 1390282679581627008
• NII論文ID: 10018738312
• NII書誌ID: AN10065950
• DOI: 10.1541/ieejeiss.127.389
• ISSN: 13488155
• ISSN: 03854221
• NDL書誌ID: 8728502
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8728502
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/127/3/127_3_389/_pdf
• 本文言語コード: en
• データソース種別:
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