非本徵向量 的英文怎麼說

中文拼音 [fēiběnzhǐxiàngliáng]
非本徵向量 英文
extrinsic vector
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 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...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  1. In this paper, we discuss some bicyclic mixed graphs which have few vertices on the bicycles, and find the eigenvectors corresponding to their smallest eigenvalues have similar structure properties to those of uncyclic mixed graphs

    對于非奇異雙圈混合圖，本文對雙圈點數較少的若干圖進行討論，發現其最小特徵值所對應的特徵向量與單圈混合圖的情形有類似的結構性質。
  2. Firstly, it introduced the import principium resolving thread and steps of analytic hierarchy process. secondly, it erected model of population modernization, which based on the steps of analytic hierarchy process. lastly, it got the maximal eigenvalue of dissymmetric matrix and corresponding eigenvector with sas, and normalized the eigenvector to get weight value

    本章分為兩部分，第一部介紹分析法的提出、原理以及解決問題的思路和步驟；第二部建立模型確定權重，根據層次分析法的原理和步驟，建立人口現代化指標體系的模型，運用sas求解所構造的非對稱判斷矩陣的最大特徵值，從而得出所對應的特徵向量，變形后得到權重。
  3. A method of face detection based on support vector machine ( svm ) is put forward. the features are extracted by applying the discrete cosine transform ( dct ) to the preprocessing image. the dct coefficients are inputted to the svm and the svm are trained using the cropped face samples and the " bootstrapping non - face " samples

    對預處理后的圖像進行離散餘弦變換提取特徵，取dct系數作為支持向量機的輸入，將經過裁剪的「人臉」樣本與「自舉」方法得到的「非人臉」樣本一起用來訓練支持向量機。
  4. On the basis of classifmg deflation into moderate deflation and harmful deflation, this paper summarized the achievements of the deflationary research, and made a thorough inquiry into the harm, cause and treatment of deflation. the paper analyzed the fallacy of composition, and pointed out that the fallacy of composition owns two characteristics of self - intensifing and mutual - promoting, which make deflation continue and aggravate. the asymmetry between individual and total is another basic characteristic owned by the fallacy of composition, which changes the economic fluctuation if the fallacy of composition develops continually

    本文對「合成謬誤」這一經濟現象進行了初步分析，指出合成謬誤具有自我強化和相互促進的特點，在經濟遭受負向外部沖擊的情況下，這使總有效需求累積性收縮，通貨緊縮因此得以自我維持，並被不斷加深；合成謬誤發展的結果是引起短期內經濟波動發生轉換，而這正是由於合成謬誤所具有的個量與總量之間存在著非對稱性這一根本特徵所決定的。
  5. Based on the careful strata correlation and division of chang - 6 formation of panguiang in jing ' an oil field, the article discusses the structure characteristics, the sand body shape and distribution and the microfacies feature of chang - 6 oil set, analyses the physical properties and heterogeneities of the reservoir which is classified three types as i, ii and iii type, summarizes the relation between microfacies, sandbody distribution and physical properties, evaluates the reservoir from the flow unit aspect, reveals the affecting feature of oil concentration

    本文在對靖安油田盤古梁油藏長6油層組進行小層精細劃分和對比的基礎上，詳細研究了盤古梁長6油層組的構造，砂體形態、展布方向及沉積微相特徵，對儲層的非均質性作了定性定量的分析並且對其進行分類，總結了沉積微相和砂體展布、物性之間的關系，從流動單元的角度對砂體進行了評價，揭示和確定油氣富集規律的影響因素。
  6. This thesis introduces a contract research for omron software co. ltd japan. the research includes development of image characteristics describing image direction and then constructing an image direction classification system

    本課題為日本歐姆龍軟體股份有限公司發掘可用於圖像方向分類的圖像特徵量並實現一個判別圖像方向（正立方向和兩種非正立方向）的分類系統。
  7. 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。
  8. It is not like expert system, which needs repeat three periods - conceptualization, formalization and improvement. in this paper, research the fault gears " three models by the vibration signal. pick up the character vector by using the wavelet packet and energy method as the ann input neural vector

    本文以齒輪箱為研究對象，在齒輪正常、齒根裂紋、齒面非正常點蝕三種模式下，對振動信號加以分析，運用「小波包?能量」法提取出信號特徵量，作為神經網路的輸入向量，採用包括有輸入層、單隱層和輸出層的bp網路。
  9. Considering that the ferrite core is often made from good permeable material, the dissertation presents the condition that the normal component of the magnetic field strength is zero approximately at the inside surface of good permeable material, i. e. bn = 0 to determine the eigenvalues for the separation constant. during the solving process, the solenoid coil is supposed to be wound closely by infinite symmetrical delta - coils

    考慮到磁芯通常是由導磁性能非常好的軟磁材料構成，本文提出利用靠近良導磁材料內側磁場強度法向分量近似為零，即b _ n 0 ，這一邊界條件，來確定邊值問題中的本徵值。
  10. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  11. In this thesis, we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction, which extend the nmf to include the option to control sparseness explicitly

    本文主要採用snmf （非負稀疏矩陣分解）演算法作為降維和提取特徵向量的工具，該演算法是在nmf演算法的基礎上加上顯式地稀疏因子控制而形成的一種非負矩陣分解方法。
  12. First, robust eigenstructure assignment, eigenstructure assignment is an effective method for output decoupling of mimo system. here, we first design an objective function in term of desired location of close - loop eigensvalues, achievable structure of close - loop eigenvectors and the unstructured time - varying parameter perturbations in system matrix

    特徵結構配置對于mimo系統的解耦控制是一種很有效的方法，本文提出的演算法是：設計一個性能指標函數，綜合考慮特徵向量的接近程度，未被配置的特徵值的穩定性及系統的非結構型擾動。
分享友人
分享到 Line

分享到臉書