pick up value 中文意思是什麼
pick up value
解釋
始動值-
( 3 ) in order to prove multi - point exciting experiment good, we employ traditional ergography ( hammering method ) to make experiment, peak value pick - up method to modal identification, and compare identification result by hammering method with vibration table experiment. the result revel that vibration table experiment can obtain larger energy and more adequately excite
在重頻、密頻時、在試驗試件的結構巨大，需要大的能量激勵才能充分激出完全模態時、在一激勵點為某階感興趣模態的節點時，都需要用多點激勵的方法。 -
Method based on component analysis ( peak value pick - up ) and global orthogonal polynomial subsection fitting to obtain system damping ratio, natural frequency and modal shapes is especially described
著重描述了分量分析法（峰值拾取法）和整體正交多項式分段擬合法提取系統固有頻率及其振型的方法。 -
5, using the method of virtual value. kurtosis, time domain averaging and so on to pick up equipment fault information, and processing data by the method of svm theory
5 、利用有效值、峭度、時域平均分析等方法提取設備故障信息，並利用支持向量機（ svm ）理論進行機器學習演算法研究。 -
Reflect latest time you can telephone for a pick - up. asiaone and trans - pacific next - business - day delivery service only apply to limited zip code in the city and to those low value packages which need no formal entry
即最後可以致電取件的時間， asiaone及跨太平洋送遞服務只適用於部分郵區編號及毋須正式清關的低價值貨件。 -
The technology of automatic choose of threshold value is used, and it make the choose more reasonable. the graying arithmetic is improved in order to pick up interest point and target easily
本文在應用部分採用了自動閾值選擇技術，使閾值的選擇更合理；對灰度化演算法進行了改進，目的是較容易的提取興趣點和目標。 -
Pretreatment of image is studied, such as graying, smoothing, the choice of threshold value, edge detection, erosion, inflation, figure pick - up, figure following, image segmentation. the aim is to produce a breadth of image easy to recognize and understand for computer, at the same time the base is established for stereo vision
對圖像的預處理進行了研究，如圖像的灰度化、平滑化、閾值選擇、邊緣檢測、腐蝕、膨脹、輪廓提取、輪廓跟蹤、圖像分割等，目的是產生一幅計算機易於識別和理解的圖像，同時為立體匹配奠定了基礎。 -
( 3 ) combining secondary genetic algorithm with l - m algorithm in toolbox and thinking about effects of partial forecasting sample in adaptive value, the thesis redacts improved genetic neural network procedure in order to pick up faculty of learning and generalization and running velocity
（ 3 ）與工具箱的l - m演算法結合編寫了改進遺傳神經網路ga - lm程序，綜合考慮了部分預測樣本對適應度函數的影響，提高了網路的學習、泛化能力及運行速度。 -
Coupling ipo with fdtd, we pick up " background noise " to improve numerical value precision
在ipo和fdtd之間場耦合中，通過提取「本低噪聲」方法提高數值精度。
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