特性向量 的英文怎麼說

中文拼音 [tèxìngxiàngliáng]
特性向量 英文
eigen vector
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 特性 : characteristic（s）; character; performance; features; properties; behaviour; response; character...
  1. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  2. 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。
  3. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  4. Experiments show that the new mdv is stabile and distinct, the algorithm with high recognition rate is very quick, and almost real time

    實驗表明，這種新特徵向量具有較好的穩定性和區分性，演算法識別率高、速度快，幾乎達到實時效果。
  5. 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
  6. 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
  7. 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。
  8. In the case of being a unicyclic mixed graph, fan yi - zheng gives a remarkable result on the structure of the eigenvectors corresponding to its smallest eigenvalue

    摘要對于非奇異單圈混合圖，范益政給出了其最小特徵值所對應特徵向量的一個很好結構性質。
  9. According to the time variation and feature extraction difficulty of rotating machinery vibration signals, the rule of choosing wavelet basis function and wavelet denoising soft - thresholding value is proposed after making further research on wavelet transform technique, using for denoising rotating machinery vibration signals the conception of " energy " is proposed, based on the theory that signals energy in all frequency can be affected by faults deeply, to construct feature vectors of rotating machinery vibration signals which can give a convenient disposal way to fault feature extraction and fault intellectual diagnosis

    針對旋轉機械振動信號的非平穩性及特徵難以提取的特點，通過對小波變換技術的進一步研究，提出旋轉機械振動信號處理的小波基函數選擇原則及小波包消噪的軟閥值原則。利用小波包變換對旋轉機械振動信號進行消噪處理和特徵提取。並以「能量」為元素，構造旋轉機械振動信號的特徵向量，從而為旋轉機械振動信號的故障特徵提取以及后續的故障智能診斷提供了一種便捷的處理方法。
  10. The 1st time coefficient shows the staged feature of the progression of the moisture transport over asian - australian monsoon region, which relates with the large - scale important weather incidents in asian - australian monsoon region. iv

    第一特徵向量對應的時間系數圖表現了亞澳季風區4 - 9月份的水汽輸送階段性的時間演變特徵，可反映夏季亞澳季風區的大型天氣事件的發生變化過程。
  11. Following from the results of sensitivity analysis of standard eigenvalue problems, the differentiability of semisimple multiple eigenvalues of nonsymmetric generalized eigenvalue problems is proved, and the derivatives of semisimple multiple eigenvalues and the series expansions of the corresponding eigenvectors are obtained

    摘要以標準特徵值問題靈敏度分析的有關結論為基礎，證明了單參數非對稱廣義特徵值問題半單重特徵值的可微性，給出了特徵值導數的表達式和特徵向量的級數展開式。
  12. This paper emphasizes on researching how to classify object based on feature vector having uncertainty

    本論文則主要研究了如何根據具有不確定性的目標特徵向量來識別目標。
  13. In feature extraction step, we apply homogeneity into text detection, and we compare using the gradient, edge extract and homogeneity mapping to enhance corners and texture features, and then use a slip window to get different kinds of texture features as the feature vector, and then after comparing the accuracy result of svm and bp neural network, we choose svm as the classifier

    在特徵提取步驟中，本文把一致性h應用到文本區域提取領域，使用邊緣空間映射和一致性h空間映射兩種方法得到特徵圖像，並比較了兩種空間對于文本提取的影響;對得到特徵圖像，使用滑動窗口比較了提取不同維數的紋理特徵作為特徵向量的結果。
  14. Considering the fuzziness of some boundary conditions enviroment media, and especially some loads in the engineering structure analysis, we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ), study further and systematically the analysis and solution. the principle of fuzzy minimum potential energy is established, and the balance equation of fuzzy finite element is reasoned by making fuzzy variation. at the same time, the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced. based the theory that the degree of the fuzziness and probability can be measured, in the other word, by using the concept of fuzzy entropy and entropy, pure fuzzy dynamic structure is given through transforming the probability to fuzziness. for the fuzzy parameter can be regarded as a fuzzy vector with dimensions, the structure ' s eigenvalue, by the theory of small parameter

    建立了模糊瞬時最小勢能原理，運用模糊變分原理導出了模糊有限元動力平衡方程；同時，利用隨機變分原理導出了動力問題的隨機有限元方程，同時得到了模糊隨機動力問題的有限元平衡方程。根據模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把結構的隨機性等效地轉化為結構的模糊性，得到純粹模糊性的動力結構。把結構所具有的模糊參數看作一個維的模糊向量，利用小參數攝動原理，把結構的特徵值，特徵向量和位移都在模糊向量的均值處進行泰勒展開，得到一組遞歸方程，即可以求得結構的模糊特徵值，特徵向量和模糊位移。
  15. " energy - fault recognition ", a fault diagnosis method based on wavelet packets analysis for the transport pipeline supervising system is proposed in this dissertation. eigenvector target is presented which reflect the characteristic of leakage pressure signal

    本文將基於小波包分析的「能量?故障識別」故障診斷方法引入管道運行狀態監測技術，提出了反映泄漏壓力信號特性的特徵向量指標。
  16. A 31 - dimension feature vector is selected which can best resemble the digit ' s characteristic of construction and statistics

    針對編號行數字，選取了能較全面地體現它們的結構和統計特性的31維特徵向量作為原始特徵。
  17. Thirdly, decrease the difficulty of the character recognition through studying the method of character preprocessing ; at last, some effective methods of feature extraction, such as the one based on image transform with the invariant features which keep stable while the picture move, rotate and zoom in or out, and the other focused on the shape of character and features of direction

    三、深入探討了字元識別的預處理方法，減少字元識別時的運算量和難度。四、討論了三種特徵向量的提取方法，一種是基於平移、旋轉和尺度不變性的圖像變換法，一種是計算中心矩的方法，再就是強調字元形狀和結構的方向特徵量提取法，實驗中通過最小距離法進行字元的分類識別，匹配時間少，識別率有所提高。
  18. 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。
  19. Frequency using wavelet theory, another is multi - channels based on gray. the first method is based multi - scale decompression using wavelet theory, it extract gray feature from each channel to form feature vector, it can distinguish objects, but this method not have invariant property when object rotate

    基於小波的頻率多通道是從小波多分辨分解的角度，提取各頻率通道的灰度特徵形成特徵向量，該方法可以很好的區分目標，但不具有旋轉不變性。
  20. Second, using the method of wavelet - transform, extract the stable second - low frequency wavelet coefficient, build face database. third, for the sake of eliminating the correlations between entities of the image vector and extracting character - vector, which keeps the main class - information and can be used to rebuild original image, the principal component analysis ( pca ) was used

    對人臉庫進行主成份分析，此方法根據人臉圖像整體的灰度相關性來提取特徵向量，所提取出的特徵向量保留了原圖像空間中的主要分類信息，並能在均方誤差最小的意義上重建原圖像。
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