IWCIA11-03-SC080005.pdf 383 KB
The clonal selection principle is used to explain the basic features of an adaptive immune response to a antigenic stimulus. It established the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. The clonal selection algorithm by incorporating receptor editing method, RECSA, has been proposed by Gao. This paper tries to classify the medical database of Coronary Heart Disease databases and reports the computational results for 4 kinds of training datasets.
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
IEEE SMC Hiroshima Chapter
Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter ： IWCIA 2008
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