Currently in the research of artificial immune system, the clonal selection principle is commonly used in designing immune recognition algorithms.
人工免疫系统研究中大多借鉴克隆选择原理来构建免疫识别算法。
Based on the clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
摘要基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
Based on the clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
While the clonal selection principle is responsible for generating the memory cell population, the immune network theory prevents the population size from increasing quickly.
克隆选择用来产生抗原的记忆细胞群体，免疫网络理论则用来抑制该群体规模的快速增长。
While the clonal selection principle is responsible for generating the memory cell population, the immune network theory prevents the population size from increasing quickly.
克隆选择用来产生抗原的记忆细胞群体，免疫网络理论则用来抑制该群体规模的快速增长。
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