擬制免疫 的英文怎麼說
中文拼音 [nǐzhìmiǎnyì]
擬制免疫
英文
immunosuppress-
In order to get further evidence of the localization and distribution of emt - 1 in cells, we have prepared emt - 1 his6 - fusion protein and intend to abtain emt - 1 antibody for immuno - histochemistry assay
為了進一步證實emt l在細胞內的定位及組織分佈，擬制備抗emt l抗體，進行免疫組化驗證。Molecular imprinting technique ( mit ) is becoming increasingly recognized as a powerful technique of preparing synthetic polymers that contain tailor - made recognition sides for certain molecules. it has an extensive application in purification, separation, immunoassay, enrichment, biomimics and other relevant fields for its predetermination, specificity and practicability of molecule recognition
分子印跡技術是一種制備對特定分子具有專一識別性能的聚合物（ mip ）的技術， mip對模板分子的識別具有預定性、專一性和實用性等優點而在分離提純、免疫測定、生物模擬以及痕量分析等領域顯示出廣闊的應用前景。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。The intrusion detection system based on artificial immune model simulates negative selection, clonal selection, and memory cells in the human immune system and assigns detection to six kinds of functional agents, which are monitoring agents, decision agents, response agents, communication agents, selection agents and testing agents. though sharing information and interaction with each other, these agents can identify anomalous behavior mode
該系統模擬了人體免疫系統中的負篩選、克隆篩選和記憶細胞等基本工作原理和機制，將入侵檢測的任務分配給監視、決策、響應、通信、篩選和測試等六個功能主體，通過這些主體之間的信息共享、相互協作來識別異常行為模式。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The main works of this paper are presented as follows : ( 1 ) analyzed the research condition and the difficulty of multi - agent security research at present, and we gave the definition of security in a multi - agent system ; ( 2 ) analyzed and sampled involved immune mechanism, we constructed a immune agent and described its mental attribute by dfl ; ( 3 ) gave a communication form based on mental attribute ; ( 4 ) based on dfl, we proposed a diseriminating model among tias by taking into account the theories of dynamic immune network ; ( 5 ) based on the principle of clone selection, we gave a tia ’ s immune algorithm, and put forward single tia ’ s distinghuishing model and multi - tia ’ s distinghuishing model by taking this algorithm as foundation ; ( 6 ) the security model carried on an application in the detection of computer virus, for this purpose, we also developed a simple simulation program based on binary coding
主要包括如下工作: （ 1 ）分析了當前多agent安全的研究現狀及其面臨的困難，給出了多agent安全的需求和定義; （ 2 ）分析和抽取了相關的免疫機制，構造了一種免疫agent ，並利用動態模糊邏輯對其非空心智狀態進行了描述; （ 3 ）給出了agent之間基於心智屬性的通信方式; （ 4 ）以動態免疫網路理論為基礎，結合動態模糊邏輯，給出了tia的狀態鑒別模型; （ 5 ）給出了基於克隆選擇原理的tia免疫演算法，並在該演算法的基礎上提出了單tia非自體識別模型和多tia協商非自體識別模型; （ 6 ）將該安全模式在計算機病毒檢測中進行了應用，實現了一個簡單的基於二進制編碼的計算機病毒檢測模擬系統。On the promise of holding the control means of pll, introducing the control ways of wnn optimized by immune algorithms into the control of induction heating power, the author brought forward a multiple control strategies, that is, combined a wave neural networks which optimized by means of immune algorithms with digital phase locked loop circuit. simulation results show that it is feasible and effective
在保留鎖相環控制的基礎上，引入了基於免疫優化的小波神經網路，提出了把小波網路控制和數字鎖相環控制相結合的控制策略，並以感應加熱電源為控制對象，模擬結果表明了該控制策略的有效性與可行性。分享友人