自正則化函數 的英文怎麼說
中文拼音 [zìzhēngzéhuàhánshǔ]
自正則化函數
英文
autoregularized function- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 正 : 正名詞(正月) the first month of the lunar year; the first moon
- 則 : Ⅰ名詞1 (規范) standard; norm; criterion 2 (規則) regulation; rule; law 3 (姓氏) a surname Ⅱ...
- 函 : 名詞1. [書面語] (匣; 封套) case; envelope 2. (信件) letter 3. (姓氏) a surname
- 數 : 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
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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,通過對調焦評價函數特徵的分析,選擇能夠適應各個放大倍數顯微圖像的梯度作為系統的自動調焦評價函數;針對三維器件說明了調焦窗口正確放置的原則和必要性;分析了變倍過程中聚焦平面位置的變化規律,提高了自動調焦的效率。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則和隸屬函數進行自動修正、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化率的信息,即將輸入變量和變量的變化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,最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化,並將優化前後的結果作了比較和分析。 2Simultaneously, 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,採用帶優化修正函數的無量化模糊控制器,使系統能在比較粗糙的初始規則基礎上自動尋找較理想的控制規則。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,聚類時怎樣自動確定簇的個數和半徑;其次,如何利用含有多個正規化參數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則的,則它很難用徑向基函數來描述,因此需要研究其它能代表不規則形狀的簇的基函數。分享友人