阴性选择

  • 网络Negative selection
阴性选择阴性选择
  1. 一种r可变阴性选择算法及其仿真分析

    An Algorithm of r-Adjustable Negative Selection Algorithm and Its Simulation Analysis

  2. B细胞活化辅助受体在对自身抗原的阴性选择中也起作用。

    B cell activated co-receptor also has an effect on the negative selection of B cells reactive to autoantigens .

  3. 抗TCR抗体诱导正常和NOD小鼠胸腺细胞阴性选择

    Thymocyte Negative Selection of Normal and NOD Mice Induced by Anti-TCR Antibody

  4. 论文首先简要介绍了人工免疫系统的基本概念,然后着重分析了人工免疫系统中的主要算法阴性选择算法,并提出一种r可变阴性选择算法。

    The Artificial Immune System ( AIS ) is introduced briefly , then as one of the main algorithms in AIS , negative selection algorithm is discussed .

  5. 方法:采用免疫磁珠阴性选择方法分离纯化人外周血T淋巴细胞;单向混合淋巴细胞反应(MLR)分析共刺激分子对T细胞的激发作用;

    Methods : T lymphocyte was purified by magnetic beads negative selecting .

  6. 基于阴性选择原则的Non-self探测器生成算法

    Non-self Detector Generating Algorithm Based on Negative Selection Principle

  7. 阳性选择决定了成熟T细胞的MHC限制性,阴性选择使机体获得自身免疫耐受。

    The MHC restriction of T cell is determined in positive selection . The tolerance of T cells to autoantigen is acquired during negative selection .

  8. 最后详细研究了Forrest的r位连续匹配阴性选择算法,通过理论分析和仿真实验说明了问题产生的原因。

    Finally we study the details of negative selection algorithm adopting ther-consecutive matching method , and find out the causes of the problem by theoretical analysis and simulation experiments .

  9. 在TCR/InsHELAire-/-鼠,由于缺少Aire,自身反应性T细胞的阴性选择完全被抑制。

    In TCR / InsHEL Aire - / - mice , due to lack of Aire , self reactive T cells deletion was blocked .

  10. 对Castro和Timmis提出的带变异的阴性选择算法进行适当改进,用于故障模式的离线训练。

    In this paper , negative selection algorithm with mutation proposed by Castro and Timmis is improved and used in the off-line training of fault modes .

  11. 针对阴性选择免疫算法中字符串空间收敛效果差以及运行成本高的缺点,依据Forrest阴性选择算法提出了一种新的改进算法。

    Based on the study of Forrest negative selection algorithm , a new method is presented to improve the existing negative selection algorithm with bad convergent effect upon the space of string and high running costs .

  12. 所做的研究工作归纳如下:(1)详细地研究了Forrest阴性选择算法以及算法中存在的问题,通过理论分析和仿真实验阐述了问题产生的原因。

    The arrangement of this paper is as follows : 1 . The problem of Forrest negative selection algorithm is analyzed in detail . The root cause of the problem is discussed with theory analysis and simulation experiments .

  13. 内嵌阴性选择算子的克隆选择算法(N-AIS)只能作为误用检测器,检测给定静态环境下的入侵行为,而不能自适应动态变化的网络环境。

    N-AIS can be only used as a misuse detector to detect the given static antigen data set , but cannot automatically adapt to the dynamic network intrusion .

  14. 首先改进了可变半径实值阴性选择算法V-detector,改进策略是在检测器生成过程中根据非自体空间的分布,产生具有尽可能大覆盖范围的检测器。

    Firstly , V-detector algorithm & a real-valued negative selection algorithm with variable-coverage detectors was improved . The improved algorithm endeavored to generate large detectors according to the non-self space distribution .

  15. 然后,基于阴性选择原则提出了两种探测器生成算法,即位变异算法(BMGDGA)和余数生长算法(AGDGA)。

    Then , based on Negative Selection Principle , proposed two kinds of detector generating algorithms . They are Bits Mutation Growth Detector Generating Algorithm ( BMGDGA ) and Arithmetical-compliment Growth Detector Generating Algorithm ( AGDGA ) .

  16. 一种自适应动态阴性选择入侵检测算法研究

    Study on a self-adapted dynamic negative selection algorithm for intrusion detection

  17. 采用在自己空间变异搜索来训练检测器的阴性选择算法

    Negative-selection algorithm of mutation search in self space to train detector

  18. 胸腺细胞的发育要经历阳性选择和阴性选择。

    The MHC restriction of T cell is determined in positive selection .

  19. 阴性选择分类器原理与应用研究

    The Reasearch of the Principle and Application of Immune Negative Selection Classifier

  20. 基于改进型阴性选择算法的车辆故障检测方法研究

    Research on Vehicle Fault Diagnosis Method Based on Improved Negative Selection Algorithm

  21. 计算机病毒人工免疫中阴性选择算法的研究

    Research on Negative Selection Algorithm in Computer Virus Artificial Immune

  22. 阴性选择是幼稚T细胞在分化发育过程中一个非常重要的步骤。

    Negtive selection plays a very important role in maturate of T cell .

  23. 面向多类别模式分类问题的新型阴性选择算法

    Novel negative selection algorithm for multi-class pattern classification problems

  24. 树突状细胞和胸腺阴性选择

    Dendritic cell and thymic negative selection Choosing the Guillotine

  25. 一种改进的阴性选择免疫算法

    An Improved Intrusion Detection Negative Selection Immune Algorithm

  26. 研究了基于阴性选择算法的飞行数据异常值检测问题。

    The method of using negative selection algorithm to detect abnormal flight data was researched .

  27. 阴性选择免疫算法的研究

    Research on Negative Select Immune Algorithm

  28. 利用磁性细胞分选技术阴性选择法分离外周血嗜酸性粒细胞

    Isolation of eosinophils from peripheral blood by the negative selection procedure of magnetic activated cell sorting

  29. 结合车辆在线检测背景,提出了一种改进型阴性选择算法。

    An advanced negative selection algorithm adapted to the engineer needs in vehicle online testing is presented .

  30. 在可变模糊匹配阴性选择算法的基础上,提出了一种有效检测器集的生成算法。

    Based on adjustable fuzzy matching negative selection algorithm , an effective detector set generated algorithm is presented .