奇異向量 的英文怎麼說
中文拼音 [jīyìxiàngliáng]
奇異向量
英文
singular vector-
In this paper, we discuss some bicyclic mixed graphs which have few vertices on the bicycles, and find the eigenvectors corresponding to their smallest eigenvalues have similar structure properties to those of uncyclic mixed graphs
對于非奇異雙圈混合圖，本文對雙圈點數較少的若干圖進行討論，發現其最小特徵值所對應的特徵向量與單圈混合圖的情形有類似的結構性質。General total least squares problem ; svd decomposition ; singular values ; singular vectors
廣義完全最小二乘問題奇異值分解奇異值奇異向量This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described
利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。We analyze the assembly model and propose a mathematics model and tree - representing model of the assembly who not only has a small data size, but also can be manipulated easily. this thesis not only gives the virtual representing concept the instance representing one, but also defines the concept of assembly constraint such as coupling, being alignment, being coaxial and being equidirectional. based on such concepts, a revised newton - raphson iterative algorithm is proposed, which can deal with the singularity and ill - condition of jacobi matrix
首先分析了裝配體的模型問題，提出了裝配體的數學模型及樹形式表示的裝配體表示模型，模型具有數據量小、操作簡單的優點：文章對所涉及的約束諸如耦合、對齊、同軸、同向的裝配體位置描述概念進行了定義，引入了裝配約柬概念，從而提高了裝配設計效率；在此基礎上，文章討論了裝配約束的求解方法，提出了newton rapson迭代法的改進演算法，使得系統能更好地處理jacobi矩陣的奇異和病態的情形。In the case of being a unicyclic mixed graph, fan yi - zheng gives a remarkable result on the structure of the eigenvectors corresponding to its smallest eigenvalue
摘要對于非奇異單圈混合圖，范益政給出了其最小特徵值所對應特徵向量的一個很好結構性質。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An algorithm for matching the esprit ' s estimation of two - dimensional angle by using twice svd and once schur is proposed. using two row uniformity sensor - arrays and adding one sensor, the algorithm decomposes the array twice and exploits rotational invariance properties of signal space, so that both angles may be computed via matrix pencil method, and these estimates are automatically paired. simulation results are presented to verify the efficacy of the proposed algorithm
首先針對esprit演算法對窄帶源進行二維doa估計存在測向冗餘的情況，提出了一種改進演算法，該演算法利用子陣信號數據矩陣中包含的信號空間的旋轉不變性質，藉助于矩陣束方法求解出信號的二維到達角，並且利用兩次奇異值及一次schur分解從而實現了esprit二維doa估計參量的自動配對； 2Based on the results, chapter 3 obtains the necessary and sufficient conditions of the positive line a - doubly diagonally dominant matrices being non - singular m - matrices, by means of the nature of the associated digraph of matrices irreducible and weakly irreducible matrices. the results obtained simplify the process of judgment, only making us to check the related quantity involved in the circuit of the associate digraph of matrices
第三章在已有結果的基礎上，藉助于矩陣的伴隨有向圖、不可約以及弱不可約矩陣的性質，得到了正線-雙對角占優矩陣為非奇異m -矩陣的充分必要條件，所獲結果簡化了判定過程，只需要對矩陣伴隨有向圖圈中所涉及到的相關量進行驗證即可。Judging by the different magnitude and direction of the wavelet packet coefficient modular maximum, we can select the single phase - to - earth line. the method using wavelet singularity detection theory to extract the fault time is discussed. a fault distance measurement algorithm combining wavelet analysis used for separating the character from the transient fault signal with artificial neural networks used for the nonlinear approximation from the transient character to fault distance is presented
論文提出利用各個出線零序電流在頻帶上小波包系數模極大值的方向和大小的不同來實現故障選線，討論了利用小波分析的奇異性來判斷故障啟動時刻，提出將小波分析和人工神經網路結合，利用人工神經網路的非線性逼近能力，實現故障暫態量到故障距離的非線性映射，完成測距。The nonrecursive algorithm is proved to terminate in finite steps and turn out to be a constant vector too. because two modifications estimated models are asymptotically uniformly nonsingular, thus the possible singularity in the adaptive pole placement systems is completely avoided. however the prior knowledge required is only the observability indices of systems, thus, the required prior knowledge is greatly reduced
非迭代的修正策略證明了參數修正向量在有限步內收斂於一個常向量；上述兩種修正策略均保證了估計模型的一致能控性，從而徹底解決了自適應極點配中可能出現的奇異性問題，而所需的先驗知識僅為系統的能觀性指數。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This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。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An important application of linear singular vectors is to make sensitivity study of the numerical model
線性奇異向量的一個主要應用是作數值模式初始誤差的敏感性分析。Presently there are three methods to make sensitivity analysis : numerical simulation, adjoint and linear singular vectors ( lsvs )
目前對數值模式進行敏感性分析的方法主要有三種：數值模擬方法、伴隨方法和線性奇異向量方法。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。But adjoint method and lsv method are based on linear theory and can only describe the development of small perturbations during the validity period of tangent linear model
在計算得到切線性模式的奇異向量后，可以用這些奇異向量構造初始誤差。線性奇異向量方法也是一種線性理論，只能描述切線性模式有效時段內小擾動的發展。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。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。分享友人