singular vector 中文意思是什麼
singular vector
解釋
奇異向量-
The final results obtained in this paper contained that the optimal interpolation scheme highlighted by the covariance that the correlation between different time and the correlation between different place being considered ; that the simplification of kalman filter with the singular - value decomposition ( svd ) and the direct construction of state transition matrix pfeceded with " inverse vector expression " ; and that the analysis of t / p data and its blending with theoretical model
這些成果包括：建立考慮了時間相關的方差矩陣和時空相關的最優插值演算法；對卡爾曼濾波演算法進行了svd簡化以及建立了顯式的狀態轉移矩陣；將t p實時衛星數據進行調和分析並與數值模型進行同化處理。 -
Weighted inequalities for vector valued commutators of singular integral operators
奇異積分向量值交換子的加權不等式 -
Face recognition approach based on singular vector and singular value
基於奇異向量和奇異值的人臉識別新方法 -
In view of the non stationary feature of the pressure difference fluctuation signal in the gas - liquid two phase flow, a flow pattern identification method was proposed based on the characteristic vector from the singular value of the matrix formed by the multi dimensional continuous wavelet transform values of the fluctuation signal
摘要針對氣液兩相流壓差波動信號的非平穩特徵，提出了以多尺度連續小波變換值矩陣的奇異值為特徵矢量的流型識別方法。 -
Singular value and singular vector based blind adaptive multiuser detector
基於奇異值和奇異向量的盲自適應多用戶檢測方法 -
Linear singular vector represents the direction that initial errors increase fastest during the validity period of tlm. lsvs can be used to construct initial errors in an ensemble prediction system
對于某一給定的范數，在所考慮的時間段內，線性奇異向量代表初始誤差線性增長最快的方向。 -
In this paper, the method of solution in the vector format for a kind of dual singular integral equation with two convolution kernels is discussed, and the general explicit solution and the related conditions of solvability are obtained
摘要本文對文[ 2 ]中的含兩個卷積核的對偶型奇異積分方程給出了向量形式求解方法，並且給出了一般解的顯式及相應的可解條件。 -
The stability of singular integral equations for vector - valued m - analytic functions
解析函數的奇異積分方程的穩定性 -
Lsa is similar to vector space mode ( vsm ), representing textual materials with space vectors. lsa can advance the accuracy of subsequent processes by using a truncated singular value decomposition ( svd ) to remove the influences of synonymy
在技術上，它同向量空間模型類型類似，都是採用空間向量表示文本，但通過svd分解等處理，消除了同義詞、多義詞的影響，提高了后續處理的精度。 -
The decomposed singular value may serve as the flow pattern characteristic vector and the input to a radial basis function neural network ( rbfnn ) to realize an intelligent identification of the flow pattern
然後對初始特徵向量矩陣進行奇異值分解得到矩陣的奇異值，將其作為流型的特徵向量，再結合rbf神經網路形成流型的智能識別方法。 -
There are three means to decrease the number of attributes : delete irrelevant attributes to the task using fisher ' s discriminant ratio ; merge correlate attributes according to pearson ' s correlation coefficient ; reduce the dimensionality of the attribute vector by singular value decomposition
在屬性選取時根據fisher函數把對分類影響小的屬性刪除，由pearson ' scorrelationcoefficient將相關聯的屬性合併，用singularvaluedecomposition減少屬性向量空間的維度。 -
In this paper, these two methods are employed to consider three kinds of singular perturbation boundary value problems. in the first section, the existence of solution for a class of non - linear systems with three - point boundary problem is obtained by applying the differential inequality theory. in the second section, we use the differential inequality theory to discuss the non - monotone interior layer solution for one kind of singularly perturbed quasilinear boundary value problems with a turning point. in the third section, the diagonalization method is applied to study the existence of solution for a class of vector differential systems with two - point or three - point boundary problems. meanwhile, the asymptotic estimate of the solution as well as its first - order derivative and its second - order derivative is obtained
在第一部分中，我們應用微分不等式理論證明了一類非線性系統三點邊值問題解的存在性；在第二部分中，運用微分不等式理論研究了一類帶有轉向點的擬線性奇攝動邊值問題的非單調內層解；在第三部分中，利用對角化方法研究了一類向量二點或者三點邊值問題解的存在性，並獲得解及它的一、二階導數的漸近估計。 -
In training phase, singular value vector of a lot of face image information matrix from face image sets constitutes face image sets cha racteristic matrix as a column
在訓練階段，從人臉圖像集中選取大量人臉圖像的信息矩陣的奇異值向量作為矩陣中的一列而構成的人臉圖像集特徵矩陣。
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