有噪聲的 的英文怎麼說

中文拼音 [yǒuzàoshēngde]
有噪聲的 英文
noisy
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 的 : 4次方是 The fourth power of 2 is direction
  1. Introducing the theory and application of boundary element method on the sound radiation, giving the process of solving vibration noise radiation problem using boundary element analysis software ; presenting the coupling theory and the combination analysis of finite element method and boundary element method, and doing relevant analysis based on close drum shell ; programming the noise data simulation program using the numerical calculation software, simulating the acoustic and pressure data of a key point in the transient response acoustic field of the close drum shell, realizing the audibility of the noise, using the virtual reality tools to simulate the vibration noise of the drum shell ; combining the finite element method and boundary element method to analyze the vibration noise radiation of some gear box, and completing the whole simulation process of the vibration noise of the gear box

    綜合介紹了邊界元法在聲輻射問題上的理論及應用；並給出了運用邊界元法分析軟體求解振動聲輻射問題的過程。闡述了有限元法和邊界元法的耦合理論及組合分析方法，並以封閉鼓形薄殼為分析對象進行了相應的分析。利用數字計算軟體編制了噪聲數據模擬程序，並模擬了通過組合方法分析封閉鼓形薄殼瞬態響應聲場而獲得一關鍵點的聲壓數據，實現聲音的可聽化，隨后通過虛擬現實工具實現了該情形下橢球殼振動噪聲的虛擬模擬。
  2. Data mining, which has been considered as a important methods in the analysis of time series, received more attention came from boffin. data mining is a process which get the useful information from the vast 、 incomplete 、 noised 、 fuzzy and random data

    數據挖掘技術是從大量的?不完全的、有噪聲的?模糊的、隨機的數據中，提取隱含在其中的?人們事先不知道的?但又是潛在的有用信息過程。
  3. When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one

    使用傳統的支持向量機對含有噪聲的數據分類時，所得到的超平面往往不是最優超平面。
  4. Based on the theories described above, calculation formula of general dimension of least square measure and multi - fractal fault diagnosis and analysis system have been established with borland c + + builder 5. 0, and checked by pure sinusoidal and cosine signal and sinusoidal signal with noise, and verified by the examples

    基於上述原理，建立了最小二乘法的廣義維數計算公式，用borlandc + + builder5 . 0編制了以廣義維數計算分析為基礎的多重分形故障診斷系統，並對標準的正弦信號、餘弦信號及帶有噪聲的正弦信號進行了驗證。
  5. Speech enhancement as the front - end processing module is used to improve the signal - to - noise ratio ( snr ) of the input signal for recognition in the latter stages

    為了讓語音識別系統在安靜的環境和有噪聲的環境中都獲得令人滿意的工作性能，研究了一個將語音增強器和語音識別器級連起來的系統。
  6. With accelerating pace of science development, the demands on capability of large - scale information analysis are increasing. data mining is the process through which we can extract hidden but useful knowledge from half - backed, noising, fuzzy and random data sets

    數據挖掘（ datamining ）就是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。
  7. Cavitation is noisy and easily detected by sonar

    空泡現象是有噪聲的並且容易被聲納探測到。
  8. The following equipment need buffer room ( the buffer room is used for safe cabinet of gas cylinder and noisy compressor and keeping cleaner ) : aas, afs, gc - ms, and lc - ms

    5需要設緩沖間的儀器（緩沖間用來放置安全氣櫃瓶和有噪聲的壓縮機以及保持清潔）原子吸收，原子熒光，氣相色譜質譜，液相色譜質譜。
  9. If it is possible, the rooms for gc, icp, icp - ms should have a buffer area for gas cylinder cabinet and noisy compressor storage ; thereby the buffer room will keep the inner area of the room clean

    建議有條件的情況下，氣相色譜、等離子體發射光譜、等離子體質譜也應建立緩沖間，緩沖間用來放置安全氣瓶櫃和有噪聲的壓縮機以及保持清潔） 。
  10. This paper examines the effects of the mechanism - call auction mechanism and continuity mechanism by which securities are traded on their stock returns. firstly, we explain the relational concepts. later, under the market inefficiency hypothesis, we draw into the amihud & mendelson model of price adjustment. because the different market tradings have different assets and these assets are traded in different environments, hence it would be hard to discern differences resulting from the trading mechanism itself from differences due to dissimilarities of securities and environments. we offers to resolve this difficulty by comparing the stock returns in the opening transactions with the price behavior of the some stocks traded at the same exchange during the same period in the closing transactions

    而後，在市場無效的假設前提下，我們引入了amihud和mendelson構建的帶有噪聲的偏調整模型。由於不同的市場交易有不同的證券，而且這些證券又處在不同的環境中交易，因而很難看出排除證券本身以及環境因素后，交易制度對股票價格行為的影響。因此，我們利用同一交易所交易的同一股票在盤整時期的開盤（開盤交易採用集合競價制度）和收盤（收盤價採用連續競價制度確定）數據來比較不同的交易制度對股票收益的影響。
  11. It is a process to find valuable information and knowledge hidden behind data and unknown from a lot of incomplete, noise, vague, random, real application data

    它是從大量的、不完全的、有噪聲的、模糊的、隨機的實際應用數據中，提取隱含在其中的、事先未知的但又是潛在有用的信息和知識的過程。
  12. 2. because traditional invariant moments have their limitations in recognition and computation, the wavelet moment invariants are introduced and applied to the image recognition of airplane

    針對傳統的幾種矩的缺陷：對有噪聲的圖像的識別效果不理想； zernike矩雖然有比較好的識別效果，但計算量大。
  13. Data mining ( dm ) aims at drawing implied and useful information / knowledge from massive incomplete, noisy, blurry, and stochastic real data ; while neural network is a frequently used tool for dm

    數據挖掘就是從大量不完全的、有噪聲的、模糊的、隨機的實際數據中發現隱含的、事先未知的潛在有用的並且最終可理解的信息和知識的過程。
  14. Chapter two explores the pre - processing and segmenting of medical images. as the medical images are interfered by noises more or less, it is needed to restrain noises by filtering and smoothing

    第二章的內容是醫學圖像預處理及體數據分割，獲取的圖像或多或少有噪聲的干擾，預處理的目的就是對其進行適當的處理，如濾波、平滑等，以實現噪聲抑制。
  15. Data mining means the process of nontrivial extraction of implicit, previous unknown and potentially useful information and knowledge from the large amount, incomplete, noisy, fuzzy and random data

    數據挖掘，指的是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。
  16. Data mining is the process of extracting hidden, unknown but potential useful information and knowledge from vast, incomplete, noisy, fuzzy and random datum. data mining technology is oriented to application

    數據挖掘是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、事先不為人知的、但又是潛在有用的信息和知識的過程。
  17. Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject

    數據挖掘（ datamining ）就是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。
  18. Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject. cluster analysis is one of the most important research domains of data mining

    數據挖掘是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程，被信息產業界認為是數據庫系統最重要的前沿之一，是信息產業最有前途的交叉學科。
  19. Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy

    數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢
  20. But in many cases, the traditional algorithms are hard to apply, or the application effects are not good. these cases include noisy data, redundant information, incomplete data, and sparse data in database. neural networks can acquire knowledge by training set

    本文針對現有數據挖掘方法在很多情況下難以推廣應用，例如對于有噪聲的數據、有冗餘的信息、數據不完整、數據稀疏等情況下，這些傳統演算法的使用效果往往不佳。
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