| Project/Area Number |
12680392
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | TOYAMA UNIVERSITY |
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Principal Investigator |
ZHENG Tang TOYAMA UNIVERSITY, FACULTY OF ENGINEERING PROFESSOR, 工学部, 教授 (90227299)
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| Co-Investigator(Kenkyū-buntansha) |
TAJIMA Masato TOYAMA UNIVERSITY, FACULTY OF ENGINEERING ASSOCIATE PROFESSOR, 工学部, 助教授 (20251879)
TANNO Koichi MIYAZAKI UNIVERSITY, FACULTY OF ENGINEERING ASSOCIATE PROFESSOR, 工学部, 助教授 (50260740)
ISHIZUKA Okihiko MIYAZAKI UNIVERSITY, FACULTY OF ENGINEERING PROFESSOR, 工学部, 教授 (90040980)
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| Project Period (FY) |
2000 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 2002: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2001: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
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| Keywords | IMMUNE NETOWRK / CLONAL SELECTION / LEARNING CAPABILITY / BIO-INFORMATIC PROCESSING / IMMUNE RESPONSE MECHANISM / ENGINEERING MODEL / GENETIC / PATTERN RECOGNITION |
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| Research Abstract |
The project focused on immune network based on biological immune response network, and modeled it based on the analogy with the interaction between B cells and T cells in immune system. The model has a property that resembles the first immune response and the secondary immune response quite well. The immunity of the network was simulated and made several experimentally testable predictions.
Furthermore, a clonal selection-based immune network has also been investigated and a pattern recognition system using the clonal selection-based immune network was proposed. Simulations results were given to such pattern recognition applications as letter recognition, classifications. The simulation results show that, beside the advantages of less categories, improved memory pattern and good memory capacity, the pattern recognition system using the clonal selection-based immune network has the powerful self organization capability.
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