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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongwei Dai Cunhua Li |
| Copyright Year | 2009 |
| Abstract | Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, we propose a novel cell-interaction model, in which antibody at idiotypic level i interacts with cells at constant levels alpha1 (index of stimulation cell) and alphaN (index of inhibition cell). Simulations on pattern recognition are performed to evaluate the proposed artificial immune model's performance. |
| Starting Page | 257 |
| Ending Page | 260 |
| File Size | 185412 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424455577 |
| DOI | 10.1109/ICINIS.2009.72 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance evaluation Image recognition Biological system modeling immune network theory Pattern recognition Intelligent networks Computer displays application Artificial immune systems Intelligent systems Artificial intelligence Immune system artificial immune system |
| Content Type | Text |
| Resource Type | Article |
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