摘要
在机体免疫系统中,B淋巴细胞和T淋巴细胞协同起来识别抗原。B细胞在初次识别到抗原后,以较高的概率进行变异和自我复制,形成新的识别能力,使得免疫系统具有高的适应性;T细胞则负责协同B细胞进行免疫识别。该文借鉴B、T细胞的免疫机制,提出了一个B识别器和T识别器—BT协同识别方法。并详细描述了BT识别器协同识别抗原、二次识别反应的演化过程。该模型克服了一般反向选择算法误识别率高的缺点,同时又保证了系统的动态适应性。
The biological immune system employs B-Cell and T-Cell in detecting antigen.After detecting antigen successfully at the first time,B-Cells copy and mutate themselves with high probability.The new B-cells are produced.They can detect new antigens with the new cells.T-cell corporates B-cell in detecting antigens.Getting the spirit from the principle of B-Cell and T-Cell in the natural immune system,this paper proposes a co-evolutionary method with T-Cell and B-Cell in artificial immune system.It also describes how the B-Cell and T-Cell detect antigens cooperatively and how the B-cell evolves.It is a method that improves detection rate and makes the system dynamic adaptation.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第36期69-72,共4页
Computer Engineering and Applications
基金
国家自然科学基金重大研究计划(编号:90204011)
软件工程国家重点实验室第五批开放基金的资助
关键词
机体免疫
淋巴细胞
反向选择
协同演化
人工免疫
natural immune,lymphocyte,negative selection,co-evolutionary,artificial immune
