Clonal Selection Algorithm におけるクラスタリングを用いた免疫学的記憶細胞の生成方法の提案

URI http://harp.lib.hiroshima-u.ac.jp/pu-hiroshima/metadata/10471
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Title
Clonal Selection Algorithm におけるクラスタリングを用いた免疫学的記憶細胞の生成方法の提案
Title Alternative
A Proposal of Generating Method of Clustering Based Immunological Memory Cell in Clonal Selection Algorithm
Author
氏名 鎌田 真
ヨミ カマダ シン
別名 Kamada Shin
氏名 市村 匠
ヨミ イチムラ タクミ
別名 Ichimura Takumi
Abstract

The clonal selection principle explains the basic features of an adaptive immune response to a antigenic stimulus, according to the idea that only those cells that recognize the antigens are selected to
proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. Especially, the
immunological memory cells are generated to record the specific antibodies by using clustering results.

Description

開催日:平成24年9月13日 会場:名古屋工業大学

Journal Title
第28回ファジィシステムシンポジウム講演論文集
Spage
55
Epage
58
Published Date
2012
Publisher
日本知能情報ファジィ学会
Contributor
市村, 匠
Language
jpn
NIIType
Conference Paper
Text Version
著者版
Old URI
Set
pu-hiroshima