自正則化函數 的英文怎麼說

中文拼音 [zhēnghuàhánshǔ]
自正則化函數 英文
autoregularized function
  • : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
  • : 正名詞(正月) the first month of the lunar year; the first moon
  • : Ⅰ名詞1 (規范) standard; norm; criterion 2 (規則) regulation; rule; law 3 (姓氏) a surname Ⅱ...
  • : 名詞1. [書面語] (匣; 封套) case; envelope 2. (信件) letter 3. (姓氏) a surname
  • : 數副詞(屢次) frequently; repeatedly
  • 正則 : holomorphic
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Sum - of - gradient - magnitude measure is chosen to adapt all images with different enlargement according to analysis of focusing measures ’ character. for 3d bond targets, it is explained that why focusing window should be placed accurately. efficiency of the whole system is ensured by analyzing shift of focal plane when enlargement ratio is changing

    為了保證快速採集到鍵合器件的清晰圖像,通過對調焦評價特徵的分析,選擇能夠適應各個放大倍顯微圖像的梯度作為系統的動調焦評價;針對三維器件說明了調焦窗口確放置的原和必要性;分析了變倍過程中聚焦平面位置的變規律,提高了動調焦的效率。
  2. Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared

    由於在模糊控制器的設計過程中存在較多的人為因素,為了實現根據系統特性對模糊規和隸屬進行動修、完善和調整,本文將遺傳演算法和模糊控制結合起來,並針對前面設計的模糊控制器中所存在的問題進行了詳細分析,提出了兩種改進方案: 1在簡單模糊控制器的輸入變量中加入了變量變率的信息,即將輸入變量和變量的變率融合為一個輸入量,並在模糊控制器的輸出端加入比例、積分環節,然後分析了這種改進后的模糊控制器的解析結構,最後採用改進后的適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬和融合因子進行優,並將優前後的結果作了比較和分析。 2
  3. Simultaneously, because of using without quantification fuzzy controller with optimal corrective function, the system can automatically search ideal control rules on the base of rough initialized rules

    同時,採用帶優的無量模糊控制器,使系統能在比較粗糙的初始規基礎上動尋找較理想的控制規
  4. However, there have still some unresolved problems : first, how to determine the number and size of the clusters automatically during the clustering process. second, how to utilize the " local " ridge regression method which including multiple regularization parameters in learning rbf network. third, those clusters in irregular form ca n ' t represented by radial basis function, thus we must find some other basis functions that can describe the irregular form

    但是仍然存在幾個問題尚待解決:首先,聚類時怎樣動確定簇的個和半徑;其次,如何利用含有多個的局部嶺回歸方法進行rbf網路學習;第三,如果簇的形狀是不規的,它很難用徑向基來描述,因此需要研究其它能代表不規形狀的簇的基
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