特徵向量分析 的英文怎麼說

中文拼音 [tèzhǐxiàngliángfēnxī]
特徵向量分析 英文
eigenvector analysis
  • 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
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. 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。
  2. On character extraction, the thesis regards handwriting images as texture images, and excogitates analyzing handwriting images with ( 2, 10 ) integer - to - integer wavelet transform innovatively, that is, analyzing texture images with ( 2, 10 ) integer - to - integer wavelet transform mainly, and denoting eigenvectors of handwriting images with integer - to - integer wavelet coefficients, the thesis defines an 18 - dimension eigenvector. ( 2, 10 ) integer - to - integer wavelet transform can extract the high pass of images effectively, high pass is the details of images, and analysis of texture images is mainly for the details

    在筆跡圖像的特徵提取上，文章把筆跡圖像當作紋理圖像來看待，創新地提出用（ 2 ， 10 ）整數小波變換來分析筆跡圖像，即主要用（ 2 ， 10 ）整數小波變換分析紋理圖像，用紋理圖像的整數小波系數來表徵筆跡圖像的特徵向量，文章定義了一個18維的特徵向量。 （ 2 ， 10 ）整數小波變換能夠很好地提取圖像的高頻部分，高頻部分在圖像中表現為細節，而對紋理圖像的分析主要是對細節的分析。
  3. Through the research on the development character of overthrust fault, we analyzed its sealing mechanism. we also established evaluation standard and method of fault sealing ability through the following two simulation experiment : experiment on the quantitative relationship between property of fracture zone filler and fault sealing ability ; experiment on the deformation character of cream shale. based on these work, we evaluated sealing ability of overthrust faults on several typical structure in kuche depression

    本文通過逆掩斷層發育特徵研究，分析了逆掩斷層封閉機理，在斷裂帶填充物性質與斷層封閉性定量關系模擬實驗和膏泥巖變形特徵模擬實驗基礎上建立了斷層封閉性評價標準及評價方法，以此對庫車坳陷幾個典型構造上逆掩斷層垂向封閉性進行了評價，結果表明現今斷層多是封閉的，這是庫車塌陷天然氣和異常孔隙流體壓力得以保存的主要條件。
  4. In the design of corpus, we carefully analyze the syllable distribution of corpus th - coss, then classify the prosodic characters of this corpus and present out the distribution of every prosodic character. based on prosodic character vector, we construct an error function which is used to select original corpus for simulation system, and show the distribution of prosodic characters for the original corpus. greedy algorithm and corpus self - adaptive process are expatiated to set theoretical foundation for text material search

    在語料庫分析與設計方面，首先統計th - coss語料庫中音節分佈情況，給出th - coss語料庫韻律特徵分類，並對每一種韻律特徵進行統計，然後構造了一個基於韻律特徵向量的誤差函數，並採用該誤差函數提取語料組成模擬系統的初始語料庫，分析該庫的韻律特徵分佈，最後闡述了greedy演算法與語料自適應過程，為文本語料的搜索打下理論基礎。
  5. The method using wavelet packet analysis is proposed to extract fault information from vibration signal obtained from testing jig of tilting train. the vector comprised of the energy of signal in all spectrum bands is input to a feed forward neural network

    利用小波包分析，將擺式車體試驗臺上採集到的振動加速度信號分解在相互獨立的頻帶之p內，各頻帶內的能量值形成一個向量，將其作為神經網路的輸入特徵向量， 。
  6. In the field of application of fault diagnosis with mese, using short signal analysis technology can get characteristics vector of faults. then fuzzy reasoning and neural networks are used to construct fault diagnosis system. the fault diagnosis system analyses the characteristic vector by self - learning

    在故障診斷領域的應用研究方面，將的簡訊號最大熵譜分析與模糊推理、神經網路技術相結合，採用模糊神經網路對最大熵譜分析得到的特徵向量進行自學習的模糊推理，能夠準備識別故障類型。
  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. The fractal theory was used to study the character of liquid - vapor interface in the paper, hence the application of the fractal theory in thermal subjects could be solved and a way to calculate the fractional dimension number in the process of simulation could be put forward. the fractional dimension number describing the character of the liquid - vapor interface was calculated. the distinct fractional dimension numbers in x, y and z direction reveal that the simulation system is an anisotropic one

    並將分形理論運用到汽液界面的研究中，提出了在汽液界面中計算分維數的方法，得到了描述汽液界面特性的數字特徵變量? ?分維數，同時根據所得到的x 、 y和z方向分維數的不同，證明了汽液界面是各向異性的，並對汽液界面進行了定性和定量的分析，得到了汽液界面是典型的分形面的結論。
  9. Better segmentation effect can be attained by coding gray levels of pixels as eigenvector, taking advantage of histogram entropy principles function as fitness function, adopting ranking selection operation, making use of arithmetic crossover and mutation at a certain probability, combining with clustering analysis to initialize clustering center of the population to segment cells image with genetic algorithm

    以像素的灰度值為特徵向量進行編碼，利用直方圖熵法準則函數作為適應度函數，採用基於排名的選擇操作，以一定的概率進行算術交叉和變異，並結合聚類分析設定種群的聚類中心對細胞圖像進行遺傳聚類分割。
  10. 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。
  11. Rapid series expansion method for calculating eigenvector sensitivity

    特徵向量靈敏度分析的快速級數展開法
  12. This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming. they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task. because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method

    然後設計了一組源於編輯距離和動態規劃思想的音樂結構分析演算法，首先將特徵向量分組，然後經過組相似匹配、組重現檢測、重現組歸並和自動標注四個前後銜接的環節實現了音樂結構的自動標注，較好地實現了將音頻形式的音樂自動標注為表示音樂結構的三元組列表形式，由於這是一個新的領域，目前還沒有比較好的量化評價方法，本文提出一種新的評價方法，並用它來評價結構分析的結果，取得了較好的效果。
  13. The signal is wavelet packets decomposed in this method. by analyzing the new sequences reconstructed on every decomposition note, the fault then can be recognized according to the eigenvectors in each frequency band

    該方法對信號進行小波包分解，通過分析在每個分解節點上重構的新序列，就能根據各頻帶內的特徵向量對壓力變化原因進行識別。
  14. " 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。
  15. The wavelet packet analysis applied in fault diagnosis system is studied in this thesis. using simulation fault data, uncalm and time difference vibration signal of sodium pump are decomposed on different levels and frequencies. to picked - up the eigenvectors reflecting different fault of sodium pump with availability, simulation results have shown its satisfaction in the identification

    對小波包分析應用於故障診斷進行了研究，利用模擬出來的故障數據，將快堆鈉泵非平穩時變振動信號分解到不同層次和不同頻帶上，有效地提取出反映鈉泵不同故障（狀態）的特徵向量，在識別中得到了滿意的結果。
  16. 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。
  17. In view of the above mentioned problem, the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification. in accordance with the difficulty in medical image analysis ( for example, the background of microimage of section is complicated and is difficult to be segmented. ), the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model

    本文針對上述問題，用計算機圖像處理及模式識別等信息技術對顯微細胞圖像的自動分析和分類的方法進行了研究，並針對醫學圖像分析中的難點（例如，顯微切片圖像背景復雜，分割困難） ，提出了基於歸一化彩色空間和rgb ， hsv彩色模型的兩類分割方法：利用模式識別技術中關于特徵向量空間聚類的方法實施真彩色分割。
  18. 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。
  19. In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created

    本文結合儲能復合材料飛輪高速旋轉的工作特點，提出了一種在線檢測飛輪轉子損傷的方法，自主設計一套實驗裝置對模擬各種損傷的的試樣進行了測試，試樣損傷前後的響應信號被採集后存入計算機中；在對採集信號進行傳統的頻譜分析的基礎上，引入了先進的小波分析理論，利用matlab語言編寫程序，對信號進行小波分解，得到了信號變化和損傷特徵之間的關系，建立了一個識別飛輪損傷的數據庫；小波包分解得到信號對比圖和特徵向量，可以有效判定材料內部有無損傷和損傷的程度，結合頻譜分析等，可一定程度上判定損傷的類型，為儲能飛輪的安全運轉和智能化運作提供了決策依據。
  20. Eigenvalues and eigenvectors analysis of random structure systems

    隨機結構系統的特徵值和特徵向量分析
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