特徵向量矩陣 的英文怎麼說

中文拼音 [tèzhǐxiàngliángjǔzhèn]
特徵向量矩陣 英文
eigenvector matrix
  • 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...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 矩 : 名詞1. （畫直角或正方形、矩形用的曲尺） carpenter's square; square2. （法度; 規則） rules; regulations 3. [物理學] moment
  • 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 矩陣 : [數學] matrix; array
  1. Compared with aitken extrapolation, eigenvalues - based algorithm bypass aitken transform and perform more effectively than aitken extrapolation algorithm theoretically in the process of iterating hyperlink - based markov matrix

    與aitkenextrapolation演算法相比，基於特徵值求解的演算法不藉助aitken變換，而通過特徵值直接求解馬爾可夫超鏈接矩陣的主特徵向量，從理論上比aitkenextrapolation演算法更高效。
  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. On eigenvectors of matrices over distributive lattices

    分配格上矩陣的特徵向量
  4. A simple method for solving matrix eigenvalue and eigenvector

    求矩陣的特徵值與特徵向量的一種簡捷方法
  5. Initial vector and iterating control in the solution to eigenvalue and eigenvector of a matrix by the matrix iterarion method

    乘冪法求矩陣特徵向量與特徵值的初始向量及循環控制
  6. In this paper, through treating lines reciprocal transformation to a matrix, cogradiently reach the eigenvalue and eigenvector of a matrix, to solve the question treat a eigenvalue under without parameters, and given some advanced theorems

    摘要通過對矩陣進行行列互逆變換，同步求出矩陣特徵值及特徵向量，解決了不帶參數求特徵值問題，並給出一些新定理。
  7. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  8. Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  9. An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  10. The main part of this hybrid algorithm is a chebyshev iteration which applies chebyshev polynomials to act on initial vectors and makes the obtained vectors close to the wanted eigenvectors ; the second one is the preconditioning subspace iteration method which uses a preconditioning matrix to impact the residual matrix obtained from the iteration procedure, so the distribution of eigenvalues is improved

    第一個改進演算法是用chebyshev多項式加速的子空間迭代法，它是用chebyshev多項式作用初始向量，使其更接近所要求的特徵向量。第二個改進演算法是對每次迭代所得的殘余矩陣直接進行預處理以改善矩陣特徵值的分佈。
  11. Based on different texture of the face and the inverse of leather, this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector

    由於皮革正面和反面具有明顯不同的紋理特徵，本文用共生矩陣提取皮革正反面的紋理特徵，並根據提取的特徵向量採用分類器對皮革正反面進行自動識別和分類。
  12. Based on the perturbation riccati transfer matrix method, the calculating program are developed. the program can be used to the perturbation analysis and the sensitivity analysis of the real and complex, the single and repeated eigenvalues and eigenvectors for lateral vibration of rod and beam structures, especially suitable to the perturbation analysis and the sensitivity analysis of eigenvalues and eigenvectors for rotordynamic systems ; 2. the perturbation riccati transfer matrix method was applied to identify the parameters of the rotor for a boiler supply pump, and the accurate dynamic model of the rotor was archived

    該程序可以對桿、梁結構橫向彎曲振動的實數、復數的孤立和重頻特徵值問題進行攝動分析和靈敏度分析，特別是適合於轉子動力學系統特徵值和特徵向量問題的攝動分析和靈敏度分析； 2 、用攝動riccati傳遞矩陣方法解決了某電站鍋爐給水泵轉子的參數識別及動力模型修改的問題，並給出了該種型號的給水泵轉子的更準確的力學模型，為進一步的轉子動力學分析與設計奠定了可靠基礎； 3 、給出了攝動理論在相關領域如隨機特徵值分析、隨機振動響應分析、可靠性分析、靈敏度分析、優化設計以及參數識別中的應用公式。
  13. Firstly, to perform pca or lda on basis of such high - dimensional image vectors is a time - consuming process. secondly, the high dimensionality usually leads to singularity of the within - class covariance matrix, which is a trouble for calculation of fisher optimal discriminant vectors

    這樣就從根本上避免了在高維的圖像向量空間內構造散布矩陣並計算特徵向量的困難，大幅度地降低了特徵抽取過程所耗費的計算量。
  14. Besides, eigenvalue analysis is used in sound - impedance matrix. with the help of optimization theory, the conclusion is received that the radiation efficiences by a group of velocity distribution corresponding to eigenvector are proportional to the eigenvalue of the velocity vectors

    並對阻抗矩陣進行了特徵值分析，從理論上說明了特徵向量對應的一組速度分佈，其輻射效率正比于該階特徵向量對應的特徵值。
  15. While flda only can get one optimal discriminating vector, by maximizing the fisher criterion, due to that the rank of the between - class scatter matrix is at most 1 for binary - class problem

    但類間離散度矩陣的秩最大隻能為1 ，決定了flda只能取一個判別方向（最大特徵值對應的特徵向量） ，無法利用其它方向的判別信息。
  16. In this dissertation a new statistical tool called as grey - primitive co - occurrence matrix is proposed, which is based on predefined specific primitive texture structures. the features extracts from a set of this type matrix can be formed as a primitive texture feature vector and used in retrieving images from image database

    本文將統計方法與結構方法有機地結合起來，構建了紋理基元，提出了描述紋理圖像的灰度?基元共生矩陣，從這個矩陣中提取用以描述圖像的特徵值，並組成檢索圖像的特徵向量。
  17. With the construction of adjacency matrices that can effectively describe an arbitrary topological graph, the eigenvectors of the same eigenvalue of the two matrices are calculated respectively and the possible isomorphic correspondences are established on the basis of their maximum impertinent groups

    摘要在構建有效描述任意圖鄰接矩陣的基礎上，分別計算2個矩陣的特徵值所對應的特徵向量，並依據它們的極大無關組尋找可能的同構對應關系。
  18. The scalar is then called the eigenvalue associated with the eigenvector

    參見矩陣的特徵值與特徵向量的幾何意義。
  19. The gradient eigenvector priority method of fuzzy complementary judgment matrix

    互補判斷矩陣排序的梯度特徵向量法
  20. The decomposed singular value may serve as the flow pattern characteristic vector and the input to a radial basis function neural network ( rbfnn ) to realize an intelligent identification of the flow pattern

    然後對初始特徵向量矩陣進行奇異值分解得到矩陣的奇異值，將其作為流型的特徵向量，再結合rbf神經網路形成流型的智能識別方法。
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