| 人工免疫中B细胞和T细胞的协同演化方法 |
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| 引用本文： | 李征难,梁意文,董红斌.人工免疫中B细胞和T细胞的协同演化方法[J].计算机工程与应用,2004,40(36):69-72. |
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| 作者姓名： | 李征难 梁意文 董红斌 |
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| 作者单位： | 武汉大学软件工程国家重点实验室,计算机学院,武汉,430072 |
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| 基金项目： | 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 |
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| 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。
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| 关 键 词： | 机体免疫 淋巴细胞 反向选择 协同演化 人工免疫 |
| 文章编号： | 1002-8331-(2004)36-0069-04 |
A Co-evolutionary Method with T-Cell and B-Cell in Artificial Immune Systems |
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| Li Zhengnan,Liang Yiwen,Dong Hongbin.A Co-evolutionary Method with T-Cell and B-Cell in Artificial Immune Systems[J].Computer Engineering and Applications,2004,40(36):69-72. |
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| Authors: | Li Zhengnan Liang Yiwen Dong Hongbin |
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| Abstract: | 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. |
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| Keywords: | natural immune lymphocyte negative selection co-evolutionary artificial immune |
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