Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
The experiment showed the function of the ability of recognition in artificial immune system. The methods and results were analyzed.
试验体现了识别力在免疫系统中的作用并且对试验方法和试验结果进行了分析。
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。
We successfully apply it on a simple pattern recognition problem and exhibit the potential of the artificial immune system on the intelligent information retrieval system.
最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。
We successfully apply it on a simple pattern recognition problem and exhibit the potential of the artificial immune system on the intelligent information retrieval system.
最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。
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