論文

査読有り
2009年10月

An Immunity Network with Provision for Diverse Recognition in T-Cell Receptors

ELECTRONICS AND COMMUNICATIONS IN JAPAN
  • Takayuki Yamaguchi
  • ,
  • Masahiro Fukata
  • ,
  • Yasutaka Aramaki
  • ,
  • Zheng Tang
  • ,
  • Hiroki Tamura
  • ,
  • Masahiro Ishii

92
10
開始ページ
41
終了ページ
48
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1002/ecj.10040
出版者・発行元
SCRIPTA TECHNICA-JOHN WILEY & SONS

Recently, biological superior information processing ability has been researched to be able to be useful For a computer System. In particular, neural networks for the brain and nervous system have been researched. Immunity network models based on the biological immune response network also have been studied, but most of the researchers consider only it basic part of the interaction between B cells and T cells. Recent research has reported that the function of T cell receptors (TCR) is important in the practical immune response network. Therefore, we propose a new immunity network model which, unlike the traditional immunity networks, has the same function as that of a TCR. We applied the proposed immunity network model and the traditional immunity network model to the pattern recognition system. And we compared the performance of the proposed immunity network model with the traditional immunity network model, and showed the usability of the proposed immunity network model. (C) 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 92(10): 41-48, 2009; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/ecj.10040

リンク情報
DOI
https://doi.org/10.1002/ecj.10040
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000271154600005&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70349563449&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=70349563449&origin=inward
ID情報
  • DOI : 10.1002/ecj.10040
  • ISSN : 1942-9533
  • SCOPUS ID : 70349563449
  • Web of Science ID : WOS:000271154600005

エクスポート
BibTeX RIS