自由基聚合 的英文怎麼說

中文拼音 [zìyóujījùgě]
自由基聚合 英文
free radical polymerization
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 由 : causereason
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 自由基 : free radical
  • 自由 : freedomliberty
  • 聚合 : 1 （聚集到一起） get together2 [化學] （單體結合成高分子化合物） polymerization; polymerize 3 [生...
  1. For six of the most important polymer radicals the values of k3. t are collated in table 4. 4.

    表4.4整理了六種最重要的聚合（物）自由基的K3T值。
  2. Let us consider the most simple reaction scheme for the radical propagated polymerization of a single monomer.

    讓我們考慮一種單體聚合中自由基增長的最簡單的反應圖式。
  3. Free-radicals may be removed from a polymerizing system by a variety of mechanisms.

    聚合體系中的自由基可以通過各種歷程清除。
  4. These butylradicals bring about a rapid polymerization of styrene.

    這些丁基自由基促使苯乙烯聚合速度加快。
  5. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  6. This research project, based on the existing problems in mathematics curriculum evaluation and the conceptions of mathematics curriculum as the guideline, systematically analyzes the basic characteristics of the developmental evaluation, i. e. multi - dimensional, formative, developmental, understanding and inspiring. drawing on the modern mathematics conceptions, multi - intelligence theory and theories of constructivism, this project systemically illustrated the connotation of the developmental evaluation : the key of evaluation is for application ; the goal is multi - dimensional ; the process is context - dependent ; the outcome is to promote the development. in view of the conceptions of developmental evaluation ( i. e. human - centered whole evaluation ; quality - focused overall evaluation ; participation - stressed autonomous evaluation ; future - faced evaluation ; guiding evaluation and inspiring evaluation ), the components of the developmental evaluation model in the new mathematics curriculum is analyzed in details in this project ( i. e. goal system, subject system and object system ) and the core structure of the developmental evaluation is established ( i. e. evaluation indicator system model )

    本課題研究以數學課程評價的現存問題為著手點，以數學課程理念為目標指向，系統分析了數學新課程發展性評價的多元性、形成性、發展性、理解性、激勵性等基本特徵;以現代數學觀、多元智力理論、建構主義理論以及成功智力理論為理論背景，系統闡述了數學新課程發展性評價之意蘊?評價核心聚焦應用，評價目標指向多元，評價過程依存情境，評價結果歸依發展;以數學新課程發展性評價理念，即以人為本的全體性評價、注重素質的全面性評價、注重參與的自主性評價、促進完善的引導性評價、不斷進取的激勵性評價、面向未來的期望性評價為航標，深入剖析了數學新課程發展性評價模式的構成成分，即目標系統、主體系統和客體系統，由此構建發展性評價模式的核心圖式?評價指標體系的模式:以數學新課程發展性評價過程為參照，尋求並創設評價準則的設計技術，評價權重的構造技術，評價信息的收集技術，評價結果的分析與處理技術;以數學新課程評價系統內蘊的一般認識論、發生認識論與發展認識論指導評價方法，詳細探討了檔案袋法、表現性評價、自我評價與同伴評定相結合的方法、蘇格拉底式研討評定和測驗法在評價中的應用。
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