Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody

Toshiyuki Shimooka*, Koichi Shimizu

*この研究の対応する著者

研究成果: Conference article査読

7 被引用数 (Scopus)

抄録

An idiotypic network model using antibodies as partial templates was applied to a pattern recognition problem. A novel network model that contains diffusion of antibodies was proposed. The proposed technique was applied to classification of 33 samples of Chinese characters that have a common sub-structure in the character. With partial template matching they were classified into 12 groups. Using the dynamics of the proposed network, the samples were classified into 18 groups. Through this study, the applicability of the idiotypic network with antibody diffusion to pattern recognition was verified.

本文言語English
ページ(範囲)511-518
ページ数8
ジャーナルLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2774 PART 2
出版ステータスPublished - 2003 12月 1
外部発表はい
イベント7th International Conference, KES 2003 - Oxford, United Kingdom
継続期間: 2003 9月 32003 9月 5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル