最終退火 的英文怎麼說

中文拼音 [zuìzhōngtuìhuǒ]
最終退火 英文
final annealing
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 終 : Ⅰ名詞1 （最後; 末了） end; ending; finish 2 （指人死） death; end 3 （姓氏） a surname Ⅱ形容詞（...
  • 退 : 動詞1 （向後移動） retreat; draw back; move back 2 （使向後移動） cause to move back; remove; wit...
  • 火 : fire
  • 最終 : final; ultimate最終裁定 absolute decree; 最終裁決 final ruling; 最終產品 [工業] final products; e...
  • 退火 : [冶金學] anneal; annealing; back-out
  1. Then, by annealing, the si / sic / sich nano - composite films are prepared. the influence of the post - heating on the microstructure of the films has systematically been studied by the means of the measurements of hrem. the nano - crystals are found embedded in the amorphous matrix in the unannealed sample and the crystallinity is not high

    以硅烷和乙烯為原料氣採用常壓化學氣相沉積制備得到si / sic復合薄膜，並使用退火處理方法對該薄膜進行后處理，最終得到si / sic / slo ：納米鑲嵌復合薄膜。
  2. The main topic of this thesis is to deposit the lacamno3 films using the pulsed laser deposition ( pld ) technique, and to improve the properties of the films through a serials of processes including the post annealing treatments. at last, the relation between the physical properties and the film making processes of the materials are discussed and some possible applications explored

    本論文的任務就是利用脈沖激光沉積lacamno _ 3薄膜，並通過退火等一系列工藝處理提高薄膜性質，最終製作測輻射熱儀的敏感元件，同時也對材料的物性展開討論，以探尋更多的應用。
  3. In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm

    在多結構基元濾波器設計中，通過學習人-機交互選定的目標樣本，自動確定形態變換的組合規則及其結構元素，最終以神經網路形式構成濾波器。在結構參數的優化學習中，利用應用領域的先驗知識，分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。
  4. Therefore, the original optimization model is transformed into the problem of cross sectional area optimization. this paper had great research on the development of optimization algorithm by analyzing typical optimal search method, such as greedy algorithm, simulated annealing algorithm, neural network and genetic algorithm ( ga ). according to the characteristics of truss structure, we choose genetic algorithm as the solution way

    本文在研究優化演算法發展過程的基礎上，分析了典型的優化搜索方法：確定性演算法如貪婪演算法，隨機搜索演算法如模擬退火演算法，人工智慧演算法如神經網路及遺傳演算法，根據桁架結構優化的特點，最終選擇以遺傳演算法作為桁架結構優化設計的主要演算法。
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