集的特徵函數 的英文怎麼說

中文拼音 [jídetèzhǐhánshǔ]
集的特徵函數 英文
characteristic function of a set
  • 集 : gatherassemblecollect
  • 的 : 4次方是 The fourth power of 2 is direction
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 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
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 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. Furthermore, after analyzing the congregative characteristic of inner measure, we obtain the relationship between belief function and inner measure

    其次，對內測度的集合特徵作了分析后，給出了信任函數與內測度的關系。
  2. Rs theory was proposed by pawlak in 1982. the focus of rs theory is on the ambiguity caused by limited discernibility of objects in domain of discourse. fuzzy set theory was proposed by zadeh in 1965 and hinges on the notion of a membership function on the domain of discourse, assigning to each object a grade of belongingness in order to represent an imprecise concept. the combination of fuzzy sets and rough sets are a new study and is very value in fact

    粗糙集理論是波蘭數學家z . pawlak於1982年提出來的兩種處理不確定和不精確數據的理論，是通過等價關系來研究對象之間的不可分辨關系;模糊集理論是美國控制論專家zadeh於1965年提出的一種處理非精確的現象的數學工具，是利用集合的特徵函數來處理邊界的不可定義性，在模糊集合中並沒有應用對象之間不可分辨性的概念。
  3. In chapter 2 there are four goals : the first is to investigate some geometric properties of h - caccioppoli sets, the second is to characterize the discontinuous set su and jump set ju of u bvh ( ), the third is to study pointwise behavior of u bvh ( ) and our effort is concentrated on showing approximate differentiability of u in the sense of pansu ' s, while the last and the most important is to show that dhu with u bvh ( ) as a radon measure can be split into three parts ( absolutely continuous part, jump part and cantor part, respectively ) just like the derivative of a bv function in the setting of euclidean space

    第二章有四個目標：一是討論h - caccioppoli集的若干幾何性質，二是刻畫h -有界變差函數的近似不連續點集和跳躍點集的特徵，三是研究u bv _ h （ ）的逐點行為，我們集中討論u在pansu意義下的近似可微性，最後也是最重要的目標我們證明對u bv _ h （ ） ， d _ hu作為radon測度能夠分解成絕對連續部分、跳躍部分和cantor部分之和。
  4. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  5. 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。
  6. First we collect signals by shake and infrared temperature sensor, transfer them to computer by a / d instrument, dispel zero excursion of sensor and in - linearity of a / d transformation, save them in the form of data file. then transfer them to matlab, analyze and dispose by wavelet function and toolbox. by lot of experiments and data analysis we find distinct change of the character in different fault states

    然後，我們在現場對砂光機進行實驗，利用振動及紅外線溫度傳感器現場實時採集信號，通過a / d采樣卡送入計算機中，採用逆向建模的新方法來消除傳感器零漂及a / d轉換的非線性，再以數據文件形式保存，然後在matlab中調用數據文件，應用小波函數及工具箱對其進行處理分析，經過大量的實驗及數據分析發現在不同的故障狀態下，特徵量有明顯變化。
  7. Completeness provide the minimum functionality that any reasonable user would expect to find and use. create complete documentation ; document all features and functionality

    完整提供任何合理的代碼使用者所預期的最小函數集；創建完整的文檔，記錄所有的特徵和功用。
  8. Constructing an entire function a ; ( a ), the zeros of which are the eigenvalue of dirac eigenvalue problem with general two points " linear algebra boundary conditions

    構造了一個整函數（ ） ，其零點集合與具有一般兩點邊界條件的dirac特徵值問題的特徵值集合重合。
  9. At the same time, dominant points is useful for their visual feature stability in feature match. in this paper, we propose a simple dominant points algorithms in the cases where the dominant points are very distinctly

    同時，在圖像輪廓角點特徵比較明顯的情況下，用角點提取技術提取目標的特徵點集，並設計了點集匹配函數，用於目標間的匹配與跟蹤。
  10. Abstract : an identification model of taste signals is developed based on fuzzy neural networks. the data compression and feature extraction of the sampled taste signals obtained using taste sensors are implemented employing wavelet transformation. fuzzy neural networks are used to identify the taste signals. the training of network weights and the optimization of membership functions are conducted employing genetic algorithms. the data processing and fuzzy identification of mixed acid and sweet taste signals are realized. simulated experimental results show that it is feasible and effective to introduce fuzzy neural networks into the fuzzy identification of taste signals

    文摘:文中提出了一種基於模糊神經網路方法的味覺信號識別模型，利用小波變換實現了對傳感器所採集的味覺信號進行數據壓縮及特徵抽取，以模糊神經網路作為味覺信號的識別工具，並利用遺傳演算法訓練網路權值、優化隸屬度函數.文中實現了對酸、甜復合味覺信號的數據處理和模糊識別.實驗結果表明了將模糊神經網路引入到味覺信號模糊識別的可行性和有效性
  11. In the research, the system captures real - time images based on the sdk, and saves the image data into buffers which are created by the system. the important and primary parts are got using the programs which are designed to process and analyze the image data in the buffers, and the geometrical features such as area, perimeter, moment invariants and fourier descriptor, are measured. the parts are classified according to the threshold of each geometrical feature with the image database

    課題研究中，在設計的試驗平臺上，通過攝像頭和sdk開發包對零件進行實時圖像採集，並將其存入開辟的數據緩沖區內;由設計的圖形處理模塊對緩沖區內的數據採用各種演算法進行分析處理，形成研究中感興趣的重要圖像;調用圖像識別判斷模塊，主要提取了零件的周長，面積，慣性矩，傅立葉描繪子等形狀特徵參數，根據定義的識別函數，並結合圖像數據庫，進行零件識別或缺陷檢測。
  12. Based on triangular membership functions, this paper studies the relationship between the overlapping degree, the selected feature subsets and the veracity of using these feature subsets in sorting the different similarity measures on optimal feature subset selection based on fuzzy value, and finds a more adaptable similarity measure for the optimal feature subset selection method based on fuzzy value

    在三角形隸屬度函數的基礎上，研究了基於模糊值的最優特徵子集選取演算法的不同相似性度量公式得出的類間交疊度、選取的特徵子集以及該特徵子集用於分類的準確性之間的關系，找到了比較適合於基於模糊值的最優特徵子集選取演算法的相似性度量公式。
  13. Then relation function that is a very important notion and the basic concept of extension control is imported. the thesis discusses the structure, the theory and the design method of extension controller. by this method linear, large time - delay and non - linear objects are simulated whose system character variables are error and error differential

    本論文系統地介紹了可拓學的理論框架、可拓集合論、物元的概念、物元變換的理論，並引入了關聯函數這一重要概念，接著介紹了可拓控制的基本概念和可拓控制器的結構和原理，運用可拓控制器的設計方法，以偏差和偏差微分為系統特徵量分別對線性對象、大延時對象和非線性對象進行了模擬研究。
  14. It characterizes the linear structure of m - valued logic functions using their characteristic groups, gives a method to look for the linear structure of such functions ; moreover, points out an error in bibliography [ 8 ]

    分析了m值邏輯函數線性結構的特徵。利用函數的特徵集合對函數的線性結構進行了刻畫，給出了尋找f _ p上函數線性結構的一種方法，並指出了文獻[ 8 ]中的一個錯誤。
  15. In this paper, we first established the image metadata used in our system which based on the famous dublin core, then we analyzed the abstraction and description visual features of image such as color texture and shape. next, we discussed the problem of similarity measure of visual feature, imported fuzzy logic into the distance feature and pointed out the disadvantages of geometry space based methods. for multi - dimension vector ' s high dimension nature, it ' s hard to index with traditional methods, we discussed how to lower the dimension using clustering and klt transformation

    本文首先在dublincore的基礎上制定了適合我們要求的圖像元數據集；詳細分析了顏色、紋理、形狀等視覺特徵的提取和表示方法；探討了圖像視覺特徵相似度量的問題，將模糊技術引入直方圖的距離度量，分析了幾何空間距離度量函數的不足之處，提出了系統中採用的距離函數；針對圖像視覺特徵向量的多維特性，分析了現有的各種降維技術和多維索引技術。
  16. Finding md5 collisions on a notebook pc using multi - message modifications. in proc. international scientific conference security and protection of information 2005, brno, czech republic, may 3 - 5, 2005, http : eprint. iacr. org 2005 102. pdf

    基於充分條件集合併且引進小范圍搜索的修正技巧，在演算法中去除校驗差分特徵所帶來的計算開銷，我們有效地提高了對md5 - hash函數的碰撞攻擊的效率。
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