準型染色體數 的英文怎麼說

中文拼音 [zhǔnxíngrǎnshǎishǔ]
準型染色體數 英文
type number
  • : Ⅰ名詞1 (標準) standard; guideline; criterion; norm 2 (目標) aim; target Ⅱ動詞1 (依據; 依照)...
  • : Ⅰ動詞1 (用染料著色)dye 2 (感染) catch [contract] (a disease) 3 (沾染) acquire (a bad hab...
  • : 色名詞[口語] (顏色) colour
  • : 體構詞成分。
  • : 數副詞(屢次) frequently; repeatedly
  • 染色體 : [生物學] chromosome染色體疾病 chromosomal disorders; 染色體異常 chromosome abnormality
  • 染色 : dye; dyeing; colouration; tintage; tinging; dyschroia; colouring; colour; [半] decoration染色不足...
  1. 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

    針對模糊聚類演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演算法,克服了傳統模糊聚類建模演算法須事先確定規則的缺陷.通過改進的遺傳策略來優化長度,實現對聚類個進行全局尋優;利用fcm演算法加快聚類中心參的收斂;並引入免疫系統的記憶功能和疫苗接種機理,使演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演算法辨識模糊模,可同時得到合適的模糊規則確的前提參,將其應用於控制過程可獲得高精度的非線性模糊模
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