immune population 中文意思是什麼

immune population 解釋
免疫群體
  • immune : adj. 1. 【醫學】免疫（性）的。2. 有免疫力的，可避免的。3. 免除（稅等）的。4. 不受影響的，無響應的。n. 免疫者。
  • population : n. 1. 人口；人口總數；全體居民；人口的聚居。2. 物的全體[總數]；【生物學】蟲口；種群（量）；群體；族，組，個數；【統計學】對象總體，全域。3. 【物理學】布居；密度。4. 〈罕用語〉殖民。
  1. Israeli population centers would not remain immune indefinitely.

    以色列的居民中心不會無限期地不受侵犯。
  2. The range of immune response in a large random population of animals tends to fellow a normal distribution.

    在一個隨機挑選的大的動物群體中，免疫應答的強弱是呈正態分佈的。
  3. Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching

    人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。
  4. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  5. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  6. Study on the relationship between immune competence and nutrients intake in the pre - elderly population

    老年前期人群免疫功能與膳食營養素攝入關系研究
  7. Although human - to - human transmission is inefficient, all influenza viruses have the ability to change genetically, and scientists are concerned that the h5n1 virus could one day be able to spread easily from one person to another. because the virus does not commonly infect humans, there is little or no immune protection against it in the human population. if the h5n1 virus could spread easily from person to person, an influenza pandemic could occur

    禽流感可以從活鳥身上感染人類，現時人傳人的效率雖然不大，但所有流感病毒都有出現基因變異的能力，因此科學家都很關注h5n1病毒終有一天會輕易地在人與人之間傳播而且因為這種病毒感染在人類身上並不常見，人體抵抗這種病毒的免疫力極低，甚至根本沒有免疫力，一旦病毒能夠輕易地在人與人之間傳播，就會出現一場流感大流行。
  8. Avian influenza is transmitted from infected live birds to humans. although human - to - human transmission is inefficient, all influenza viruses have the ability to change genetically, and scientists are concerned that the h5n1 virus could one day be able to spread easily from one person to another. because the virus does not commonly infect humans, there is little or no immune protection against it in the human population. if the h5n1 virus could spread easily from person to person, an influenza pandemic could occur

    禽流感可以從活鳥身上感染人類，現時人傳人的效率雖然不大，但所有流感病毒都有出現基因變異的能力，因此科學家都很關注h5n1病毒終有一天會輕易地在人與人之間傳播；而且因為這種病毒感染在人類身上並不常見，人體抵抗這種病毒的免疫力極低，甚至根本沒有免疫力，一旦病毒能夠輕易地在人與人之間傳播，就會出現一場流感大流行。
  9. Report on the survey of immune level in health population after inoculated with diphtheria vaccine in zibo city

    淄博市臨淄區健康人群白喉免疫水平調查報告
  10. This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories. this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s

    本文在分析了傳統遺傳演算法的缺陷機理和揚棄了已有免疫理論的基礎上，提出了一種新型有效的優化演算法? ?免疫遺傳演算法（ immunegeneticalgorithm ， iga ） ，旨在通過對生物體實際免疫行為的模擬，使設計的優化演算法能夠有效解決全局搜索能力和局部搜索能力的矛盾、維持演化過程中種群的多樣性，從而彌補傳統遺傳演算法的缺陷。
  11. The immune status of the floating population in shanghai songjiang and the strategies

    上海市松江區流動人口免疫狀況調查分析及對策
  12. ( 2 ) stochastic theory and other correlative theories are used to analyze iga, and the immune extend population sequence formed by iga is proved to be an aperiodic irreducible ergodic markov chain. next, the global convergence of iga is proved

    2 、利用隨機過程理論及相關理論對免疫遺傳演算法進行分析，證明了由免疫遺傳摘要演算法形成的擴展免疫種群序列的強馬爾可夫性，同時還進行了不可約性、非周期性、遍歷性等性質的研究。
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