空間本徵函數 的英文怎麼說

中文拼音 [kōngjiānběnzhǐhánshǔ]
空間本徵函數 英文
spatial eigenfunction
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 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
  • 空間 : space; enclosure; room; blank; interspace
  • 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. Research on wind is the precondition of wind response, then the section plane of static wind, intensity of onflow, psd function and correlativity of dynamic wind are involved in

    對風的研究是進行風振響應研究的前提，風的基本特徵包括平均風速剖面、湍流強度、脈動風功率譜密度函數、脈動風的空間相關性以及極端風速的概率統計特性。
  2. In this study, the model emphasizes particularly on time series of geological entity and at the same time it realizes the integration of the spatial model and the attributive model by integrating complicated spatial and attributive character of forest resources. program is realized by matlab. the ann toolbox of matlab established many tool functions based on ann theory

    本項研究中，基於gis的神經網路預測模型主要側重的是地理實體數量時間結構序列，模型結合森林資源復雜的空間和屬性特徵，不僅使用了gis關系數據庫中的屬性時間序列值，同時也使用了一定的空間模型，實現了空間模型與屬性模型的有效結z 、口0在程序的實現上採用m八tlab開發環境，其中的神經網路工具箱以人工神經網路理論為基礎，構造了網路分析和設計的許多工具函數。
  3. 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。
  4. By choosing some appropriate exponential weight functions we prove that the essential spectra and the eigenvalues ( except the simple zero eigenvalue ) have negative real parts, thus we get the locally asymptotically exponential stability of travelling waves ( al ) and ( a2 ) in some weighted spaces

    通過選用合適的權函數，我們證得在加權空間線性化運算元的本質譜和除簡單特徵值零以外的特徵值均具有負實部。因此，我們得到行波（ a1 ） ， （ a2 ）在加權的l ~ 2 （ r ）空間的局部漸近指數穩定。
  5. The present dissertation discusses two issues in the laser plasma interaction. in the first part, we introduce the basic concepts about laser plasma interaction and simulation, and give the simulation results concerning the influence on the propagation of the laser pulse in plasma, exerted by the spatial modulation on the surface of the preformed plasma

    第一部分簡單介紹了激光等離子體相互作用物理與模擬的一些基本情況和基本概念，並模擬研究了靶表面等離子體的空間調制對激光傳播的影響，分析了等離子體溫度診斷問題及激光等離子體相互作用過程中粒子分佈函數的特徵。
  6. And beginning with a perturbed nls equation, using a multi - scales perturbation expansion, we get the zero order and the first order equations, discuss the eigenstates of the operator in the equations, induct relevant " derivative states ", form the completeness of the bounded eigenstates of the associated operator in li space, and expand the corresponding parameters in the closure, get a series evolution equations of the coefficients in the expanded formulas, find the first order approximate solution by researching the evolution equations. this paper also gives the basis of this method - the completeness we have formed and the singular perturbation technique

    ） dinser方程的求解問題，討論了自伴運算元的本徵函數的正交性和完備性，介紹了尋求微分方程的近似解常用的攝動方法，並從帶有某種擾動項的nls方程出發，利用多重尺度的攝動方法得到了方程的零級近似方程和一級近似方程，通過對近似方程中運算元的特徵態的討論，引入適當的「導出態」 ，建立了運算元在l _ 2空間的特徵態的完備性。
  7. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
  8. The data is nonlinearly mapped into high dimensional kernel space at first. then a set of feature vectors can be found such that the bhattacharyya distance of the classes mapped into lower dimensional feature space by feature vectors is maximized. thus the upper

    該演算法採用核函數把樣本非線性映射到高維核空間，在核空間中尋找一組最優的特徵向量，把樣本線性映射到低維特徵空間，使類別之間的bhattach刪a距離最大，從而使特徵空間中樣本的baycs分類誤差上界最小。
  9. Therefore, by analyzing corner model and spatial moments functions, spatial - moments - generating polynomials are used as one decision rule of corner detection measure

    本文通過分析角特徵模型和空間矩函數，推導出空間矩多項式對角特徵象素點的判別準則。
  10. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索，本文設計了一個三層的多媒體圖像數據庫，選用基於相關聚合直方圖的演算法，採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵，利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量，用距離度量函數進行圖像的相似性匹配。
  11. Svm is a kind of universal learning algorithm, which developed from statistical learning theory, that is, small sample learning theory proposed by vapnik. it can represent complicated functions especially in high dimensions, which can avoid the trouble of the dimension tragedy that happened in general algorithm. it also will not affect the system performance by using original data of the array for the eigenvector directly

    支持向量機是由vapnik等人提出的小樣本統計理論? ?統計學習理論發展而來的一種新的通用學習演算法，特別在高維空間中表示復雜函數，避免了常規演算法「維數災難」等麻煩問題，可直接用陣列原始數據作為特徵向量而不影響系統性能。
  12. In the design of watermark encoder, through the combination of side information and watermark, our system also obtained the robustness against copy attack. ( 3 ) effort on obtaining the resistance to print / scan are made. to solve the geometrical distortion problem appeared during the process of print / scan, two schemes were proposed

    （ 3 ）對抗列印掃描的水印演算法做了一些研究和實驗，對于列印掃描過程中出現的幾何失真，本文提出了兩種解決方案，一種是利用矩函數提取圖像的特徵信息，並將圖像變換到規范化的空間，在此空間進行水印的嵌入和檢測工作，從而避免了幾何失真的影響。
  13. 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。
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