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priori information中文是什么意思

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  • The iteration formula and determination of iteration step are set up according to a priori information of rock and concrete
    建立了考慮先驗信息的修正高斯-牛頓算法的迭代格式和迭代步長的確定方法。
  • In order to reduce measure error causing by nlos , it adopt and regard intensity of the signal as right value , construct some tdoa measurement value again with the priori information
    為了減少非視距傳播nlos引起定位參數測量誤差,采用以信號強度為權值,用先驗信息重構部分tdoa測量值。
  • Under a certain conditions on variance matrix invertibility , we show that the optimally weighted ls estimate outperforms the linear minimum variance estimate provided that they have the same priori information
    因此,我們討論了在相同已知信息的情況下,即最優加權最小二乘估計也利用有關被估參數的先驗信息時,二者的估計性能。
  • Blind beamforming ( bbf ) is concerned with the reconstruction of source signals from the outputs of a sensor array without a priori information of the direction of the desired source , relying instead on signal characteristics and array structures
    盲波束形成無需知道目標波達方向等先驗信息,直接利用信號、基陣自身的特性,就可從基陣的輸出采樣信號中恢復出期望信號。
  • For the inverse method research , this paper proposes a truly original concept : simulated priori - information , which means using numerical simulation method to quest for priori information . this method greatly enriches the priori information on material parameters
    在反求技術方面,本文首次提出了仿真先驗信息的概念,即用仿真方法獲取先驗信息,極大地豐富了獲取材料參數先驗信息的途徑。
  • For a general linear model ( input matrix is deterministic ) , under a certain conditions on variance matrix invertibility , the two estimates can be identical provided that they have the same priori information on the parameter under estimation . even if the above information is unknown only for the optimally weighted ls estimate , the sufficient condition and necessary condition , under which the two estimates are identical , is derived . more significantly , we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information
    在一般線性模型(即輸入矩陣為確定性)下,當兩種估計都利用有關被估參數的先驗信息時,二者在方差陣可逆的一定條件下可達到一致;當最優加權最小二乘估計不利用此先驗信息時,存在二者一致的充分條件和必要條件,進而找到一種設計輸入矩陣的方法,使得在先驗信息缺乏的條件下,仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。
  • A practical approach has been brought forward that the priori information of signal and the external parameter do n ' t needed , on the basis of summarizing the methods of white noise elimination with wavelet and the different lipschtiz exponents and characters in time - scale plane of white noise and pd
    本論文在總結各類小波去除局放信號中白噪方法的基礎上,根據白噪和局放信號的不同李氏指數以及在時間一尺度平面上的不同特征,提出了一種不需信號的先驗知識和外部參數設定的適合局部放電信號處理的實用方法。
  • A method based on gene expression programming ( gep ) for identifying the nonlinear system model is presented , which makes up the insufficiency that traditional identification methods need much a priori information , and has a tidier and more efficient system model expression mode than genetic programming ( gp )
    摘要給出了利用基因表達編程( gep )進行非線性系統辨識的方法,彌補了傳統辨識方法需要過多預知信息的不足,有著比遺傳編程( gp )更簡潔有效的系統模型結構表達方式。
  • In designing a multi - structuring elements filter , combination rules and structuring elements of the morphological transform are determined automatically , and one kind of neural networks is taken for the filter , in optimzing structural parameters of the filter , three computation methods are designed respectively , by adopting some priori information in application fields to guide optimal structural parameter learning procedure , which are the bp adaptive learning algorithm , the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm
    在多結構基元濾波器設計中,通過學習人-機交互選定的目標樣本,自動確定形態變換的組合規則及其結構元素,最終以神經網絡形式構成濾波器。在結構參數的優化學習中,利用應用領域的先驗知識,分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。
  • The theoretical model calculation shows that , under the condition without any priori information , the energy weight value resolved from the continuation field or the maximum characteristic value of the matrix related to the continuation field can be used to judge the position of the potential field source , thus determining the burial depth of the geological body
    理論模型計算表明:在沒有任何先驗信息的條件下,可以用延拓場分解的能量權值異常或延拓場相關矩陣的最大特徵值,判斷位場場源所在位置,從而能確定地質體的埋深。
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