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 language | English |
|---|---|
| Pages (from-to) | 511-518 |
| Number of pages | 8 |
| Journal | Unknown Journal |
| Volume | 2774 PART 2 |
| Publication status | Published - 2003 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science(all)
- Theoretical Computer Science
Cite this
Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody. / Shimooka, Toshiyuki; Shimizu, Koichi.
In: Unknown Journal, Vol. 2774 PART 2, 2003, p. 511-518.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Idiotypic network model for feature extraction in pattern recognition - Effect of diffusion of antibody
AU - Shimooka, Toshiyuki
AU - Shimizu, Koichi
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=8344221945&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:8344221945
VL - 2774 PART 2
SP - 511
EP - 518
JO - Nuclear Physics A
JF - Nuclear Physics A
SN - 0375-9474
ER -