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

Toshiyuki Shimooka, Koichi Shimizu

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)511-518
Number of pages8
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2774 PART 2
Publication statusPublished - 2003 Dec 1
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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