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.

Abstract

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.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 127 (3), 389-396, 2007

  The Institute of Electrical Engineers of Japan

Keywords

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

Details

• CRID: 1390282679581627008
• NII Article ID: 10018738312
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.127.389
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB 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
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed