特徵能量 的英文怎麼說

中文拼音 [tèzhǐnéngliáng]
特徵能量 英文
characteristic energy
  • 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...
  • 能 : 能名詞（姓氏） a surname
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 能量 : 1 [物理學] energy; amount of energy 2 （能力） capabilities; capacity; 能量不滅 conservation of e...
  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. 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. The econometrics model is put forward and we confirm that variables that human resource quality, loan quality the property right structure and so on ca n ' t be brought into in - put and out - put determine the affected way and degree of the bank efficiency

    建立了計量經濟模型，明確人力資源質量、貸款質量、產權結構等不能納入投入產出的銀行特徵變量對銀行效率的影響方式和影響程度大小。
  4. 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。
  5. It has been maked for immediate and statistical analysis that the calculation about the work order parameter of the base - bleed - rocket is calculated in the taguchi method, its influencing trend is bring out in the open, the theoretical base is settled for confirming the greatest combination about the work order parameter of the base - bleed - rocket. the multi - objectile optimal design model is established that the indexes have been taked into account first and synthetically, such as physical parameter range lethality power strength and flight stability and so on, the program is compiled and the example is calculated. the true worth of the theoretical work in this paper is validated by flight experimentation of 130mm hybrid base - bleed - rocket extended - range principium projectile

    本文進行了底排?火箭復合增程彈工作時序參數正交試驗設計的直觀分析與方差分析，揭示了每個參數對射程計算的影響趨勢，為進一步確定底排?火箭工作時序參數值的最佳匹配組合奠定了理論基礎；建立了底排?火箭復合增程彈多目標優化設計模型，該模型首次綜合考慮了底排?火箭復合增程彈的結構特徵參量、結構強度性能、飛行穩定性、威力性能和射程指標，編制了相應的分析程序，進行了算例計算；完成了130mm底排?火箭復合增程原理樣彈的結構設計與飛行試驗，其試驗結果驗證了本文理論研究工作的實際應用價值。
  6. 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， 。
  7. 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。
  8. Unique design features in the 1710 give improved flow measurement accuracy as well as a lower head loss characteristic compared to other valves

    與其它閥門相比， 1710獨特的結構特徵能夠改善流量的量測精度，減少壓力損失。
  9. Aiming at the relativity between repeated or similar samples and characteristic parameters during diagnosis of characteristic data, an effective data analysis approach for characteristic data compression from bi - direction is presented, which can reduce the burden of learning machine without losing the connotative characteristic knowledge of characteristic data

    摘要對診斷特徵數據中重復或相似事例樣本和特徵參量之間可能針存在的相關性，提出一種有效的特徵數據雙向壓縮預處理方法，該法在不損失數據隱含的特徵知識的前提下，能有效降低學習機器的學習負擔。
  10. 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。
  11. The input and output state vectors are defined, which are a 6 1 column vector including motion types, the magnitude and spatial orientation, respectively. the state matrices ( sms ) can be deduced by vectors operation, that is, the output state vectors multiplied by the input state vectors

    其中，前者按照輸入輸出端的不同運動類型、速度矢量的大小及方向特徵，以6維矢量形式表示；而後者作為輸入、輸出特徵矢量之間的紐帶，描述了基本變換單元的功能與特徵。
  12. 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。
  13. 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。
  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. With the coming of information age, more and more people realize the importance of information. useful information hidden in plenty of data needs mining energently. the technology of data mining arises and develops unders such circumstance. the main tast of data mining is to extract or mine the useful information from the data. we can get great amount of data from the computer transaction every day. the data is very useful for us to make decisions on management. the paper concludes and introduces association rule about its concept, sort, model and step for mining the data, measure and some basic algorithm on the basis of the at research. at the same time, we analyse hopfield - network ' smodel, character, energy - function, movement - equation and so on. moreover, to the requirement of the system of information of computer - saling, we have done the following and there are good result. fisrt, considering the weight and constraint, we propose the algorithm for the weighted and constraint association rule

    本文首先對數據挖掘中的關聯規則和神經網路的已有成果作了詳細深入的調研，歸納和整理了關聯規則的概念、分類、關聯規則挖掘的模型與步驟、關聯規則的度量方法以及一些基本演算法；還歸納和整理了hopfield網路的模型、特徵、能量函數、運動方程等，並在此基礎上，結合電腦賣場信息支持系統提出的需求，做了如下工作，並取得了一定的成果和成效： （ 1 ）考慮加權與約束兩種情況，提出了既帶權重又帶約束的關聯規則提取演算法。
  16. Secondly, because the avility of expressing image semantic informations with the color feature is too limited, so a texture feature is presented, we discuss the mothed of extracting texture of image

    其次，考慮到單純顏色特徵對圖像語義信息表示能力的不足，引入了對圖像的紋理屬性進行分析，討論紋理特徵提取的各種演算法，確定提取圖像的紋理特徵矢量演算法。
  17. 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。
  18. The facial expression classifier is set up referred to the basic human facial expressions. it realized the function of facial expression classification through the combination of the variables of the facial expression features. the programmed facial expression classifier can recognize 6 kind of basic facial expressions : normal, happiness, anger, sadness, surprise and dislike

    以人類的基本表情為參照建立了表情分類器，實現了使用表情特徵變量的組合來進行表情分類的功能，能夠識別正常、開心、生氣、悲傷、驚訝、厭惡6種基本表情。
  19. Based on the theory of reyleigh minimum, the minimum of energy function of neural network was mapped to the eigenvector that was mapped to the minimal eigenvalue of the generalized eigenvalue problem, by which the precise solution of minimal eigenvalue was gained while the neural network moving to the minimum of energy function

    本文應用reyleigh極小值原理，將神經網路的能量函數的極小點對應于廣義特徵值問題的極小特徵值所對應的特徵向量，在神經網路向著能量函數極小點運動的同時得到了極小特徵向量的精確解答。
  20. 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。
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