訓練頻率 的英文怎麼說

中文拼音 [xùnliànbīnlǜ]
訓練頻率 英文
training frequency
  • 訓 : Ⅰ動詞1 （教導; 訓誡） lecture; teach; train 2 （解釋） explainⅡ名詞1 （準則） standard; model; ex...
  • 練 : Ⅰ名詞1 （白絹） white silk 2 （姓氏） a surname Ⅱ動詞1 （加工處理生絲） treat soften and whiten s...
  • 頻 : Ⅰ形容詞（次數多） frequent Ⅱ副詞（屢次） frequently; repeatedly Ⅲ名詞1 [物理學] （物體每秒鐘振動...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 訓練 : train; drill; manage; practice; breeding
  • 頻率 : frequency; rate
  1. In this first room ， highly trained assistants with extensive knowledge in many areas of healing ， would pick up the vibrations in your body

    在第一個房間里，受過良好訓練、醫療知識廣博的助手會找出你身體的振動頻率。
  2. But the frequent use of training sequence is certainly a waste of channel bandwidth. research shows that with the prior knowledge of only the signature waveform and timing of the user of interest, blind adaptive multiuser detector can effectively detect data symbol of the desired user without training data sequence for every active user

    在傳統多用戶檢測技術基礎上，自適應多用戶檢測利用訓練序列在僅知道期望用戶地址pn碼及其定時信息條件下就可以進行檢測，不足的就是訓練序列佔用了額外的頻率資源。
  3. In the synchronous techniques based pilot symbols, here propose a frequency offset estimating arithmetic using discrete pilot symbols. we pick up integer times sub - carrier frequency offset from the same ofdm symbol and estimate exact

    此外，在頻偏估計方面，推導出短訓練序列前後兩段時域符號間的關系，並利用此進行粗頻偏估計，使頻率偏移的估計范圍大大增加。
  4. Secondly, two carbon fiber reinforced composite beams were fabricated, and their modal frequencies were measured by an experiment method. thirdly, delaminations were modeled by pairs of nodes with the same coordinates but different node numbers, while the modal frequencies of these beams with different delamination location and size were computed by an eas piezoelectric solid element. moreover, a novel method combining computational mechanics and neural network was demonstrated for composite health monitoring ; the first five flexure modal frequencies obtained by fem were modified by a primary revising approach and were used to train the neural network

    本文較全面地評述了神經網路的應用模型、改進演算法等，編制了bp神經網路程序：制備了纖維增強復合材料試件，並進行實驗模態分析；利用坐標相同、節點號不同的方法模擬脫層損傷，基於eas列式的壓電固體單元計算了不同脫層損傷情況下的頻率信息；針對基於實驗數據訓練神經網路存在樣本不足的缺陷，本文提出了利用有限元方法對含有脫層損傷的復合材料試件進行數值模擬，以前五階彎曲模態頻率構建訓練樣本的新思路，並提出了一種初步的計算值修正方法，以此構建神經網路的訓練樣本：將實驗模態分析的結果送入訓練好的神經網路進行預測，實現了對復合材料梁的脫層損傷的定位和損傷程度的評估。
  5. Third, whether the structure has fault can be determined through well - trained bp artificial neural network by taking structure frequency as the feature parameter

    （ 3 ）用結構的頻率作為特徵參數，用訓練好的bp人工神經網路進行診斷，能夠診斷結構是否有故障。
  6. Two spatially registered images with different focuses are decomposed into several blocks. then, three features reflecting the clear level of every block, i. e., spatial frequency, visibility, and edge, are calculated. finally, artificial neural networks, i. e., multilayer - perceptron, radial - basis function, probabilistic neural network, are used to recognize the clear level of the corresponding blocks to decide which blocks should be used to construct the fusion result

    具體實現過程概述如下：首先將兩幅（或多幅）配準圖象進行分塊處理，提取兩幅圖象中對應塊的能反映圖象清晰度的三種特徵，即空間頻率、可見度和邊緣，將特徵歸一化後送入訓練好的神經網路進行識別，根據得到的結果依據「誰清晰誰保留」的原則構成融合的圖象。
  7. Neural network ' s training and damage detection influenced by input vectors which include the group of the first three frequencies or the group of the first three frequencies as well as the first modal shape, are studied

    比較了僅以三階頻率作為神經網路輸入向量和三階頻率及一階振型組合作為網路輸入向量對網路訓練和損傷檢測結果的影響。
  8. We compose a neural network in which the input signals are the frame substructure natural frequencies and mode shapes, and output signals are the submatrix scaling factor. the levenberg - marquardt algorithms is applied to modify the weight matrices of neural network

    框架子結構在動載作用下的自振頻率和模態作為網路的輸入，子矩陣參與系數作為網路的輸出，用levenberg一marquardi演算法訓練網路。
  9. Furthermore, this paper exploringly studies an 802. 1 la high - speed wlan with the 54mbps data rate, and presents a sort of time synchronization and frequency offset estimation method based on the frequency domain auto - correlation of the unique preamble training sequence of 802. 11 plcp frame ; the method have the high time precision, the wide frequency estimat ion range and short convergence process ; and moreover, it can applied to other frame communication system

    另外本文還對最高傳輸速率為54mbps的802 . 11a高速無線局域網系統進行了探索性研究，討論了ofdm調制技術在無線局域網中的應用；結合802 . 11a物理層數據幀結構特點，提出了一種基於前導訓練符號序列的頻域自相關時間和頻率同步方法，此方法具有定時精度高、頻偏估計范圍寬和同步建立迅速等特點，也適合於其它幀通信應用場合。
  10. This trained bp neural net can output the weight of document feature item if its frequency is inputted, therefore the net can represent the document feature. from tests, this method is proved that it c an applied practicably and simply, and have high precision

    本文設汁並訓練出一個適合的bp網路，給出一個文檔的特徵項出現頻率能計算出特徵項在該文檔中的權重，從而表示出文檔特徵。
  11. Finally, i simulate the performance of ldpc codes with different parameters on the uwb system. we find that the performance of ldpc codes is very good. we believe ldpc codes will become the main channel - coding scheme in the future uwb system

    最後，將ldpc碼應用於ds - uwb系統，並針對不同碼長、碼率、用戶數、抽樣頻率、訓練比特數進行了計算機模擬，證實了ldpc碼具有良好的糾錯性能，必將成為未來超寬帶uwb系統主要的通道編碼方案。
  12. After collecting the characteristics of this signal in frequency domain, the samples are learned to train the constructed wavelet neural network ( wnn ) for realizing the mapping relationship between the fault and the spectrum characteristic, this method can be used for diagnosis of the unit faults efficiently

    在對水電機組振動信號進行頻譜分析后，提取該信號在頻率域的特徵量，將頻譜特徵向量作為學習樣本，通過訓練，使構造的小波神經網路能夠反映頻譜特徵向量和故障類型之間的映射關系，從而達到故障診斷的目的。
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