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vaccine inoculation中文是什么意思

  • 疫苗接種, 菌苗接種

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  • 例句與用法
  • Codes of emergent treatment in vaccine inoculation response
    預防接種反應應急處理規程
  • Annual vaccine inoculations for pets
    寵物一年一次的疫苗接種
  • Media report annual vaccine inoculations for pets may be too frequent
    154新聞傳真寵物一年一次的疫苗接種可能過于頻繁
  • 138 media report annual vaccine inoculations for pets may be too frequent
    138新聞傳真寵物一年一次的疫苗接種可能過于頻繁
  • Investigation on viral hepatitis b infection and vaccine inoculation among pupils and high school students in karamy
    克拉瑪依市中小學生乙型肝炎病毒感染調查
  • Epidemiological analysis of cases with rash and fever illness after measles vaccine inoculation during 1999 to 2002 in shandong province , china
    接種麻疹疫苗后發熱出疹性病例的流行病學調查
  • Cientific research indicates that most annual vaccine inoculations for pets are not only unnecessary , but also waste money and can be potentially deadly
    學研究指出,每年為寵物施以疫苗接種,絕大多數不僅沒有必要,而且是浪費金錢又可能有潛在的致命危險。
  • Vaccines for the most important pet diseases last three years or longer , and so annual vaccine inoculations are needless , and can even put pets at greater risk of vaccine - related problems
    一年一次的疫苗接種是不需要的,而且將使得寵物冒著更大的危險,承受疫苗接種后所引發的相關問題。
  • A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand . deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time , the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm . moreover , by introducing memory function and vaccine inoculation mechanism of immune system , at the same time , deca can converge to the optimal solution rapidly and stably . the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models . the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples , and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
    針對模糊聚類算法不適應復雜環境的問題,提出了一種新的動態進化聚類算法,克服了傳統模糊聚類建模算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度,實現對聚類個數進行全局尋優;利用fcm算法加快聚類中心參數的收斂;并引入免疫系統的記憶功能和疫苗接種機理,使算法能快速穩定地收斂到最優解.利用這種高效的動態聚類算法辨識模糊模型,可同時得到合適的模糊規則數和準確的前提參數,將其應用于控制過程可獲得高精度的非線性模糊模型
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