@inproceedings{674250ad8bd7413d9ec04df91630bf33,
title = "An artificial immune network with diversity and its applications",
abstract = "Living body immune system is highly complicated and appears to be precisely tuned to the problem of detecting and eliminating infections. Diversity is an important source of robustness in the living body immune system. Based on immunological principles, -we propose an artificial immune network with diversity inspired by the living body immune system and apply it to pattern recognition. We express the diversity of living body immune system by the fact that minute random noise is added to the proposed artificial immune network repeatedly and test the proposed artificial immune network by the simulation on alphabet pattern recognition. The simulation results illustrate that the proposed artificial immune network with diversity is effective in learning a stable recognition code in response to an arbitrary sequence of continuous valued input patterns as well as binary input patterns and it is able to improve the pattern recognition capability and noise immunity in the noise environment.",
keywords = "Diversity, Immune network, Immune response, Immune theory, Noise, Pattern recognition",
author = "Sun, {Wei Dong} and Hiroki Tamura and Zheng Tang and Masahiro Ishii",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE EMBS Asian-Pacific Conference on Biomedical Engineering 2003, APBME 2003 ; Conference date: 20-10-2003 Through 22-10-2003",
year = "2003",
doi = "10.1109/APBME.2003.1302716",
language = "英語",
series = "APBME 2003 - IEEE EMBS Asian-Pacific Conference on Biomedical Engineering 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "326--327",
booktitle = "APBME 2003 - IEEE EMBS Asian-Pacific Conference on Biomedical Engineering 2003",
}