樣本相關陣 的英文怎麼說

中文拼音 [yàngběnxiāngguānzhèn]
樣本相關陣 英文
sample correlation matrix
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 關 : Ⅰ動詞1 （使開著的物體合攏） close; shut 2 （圈起來） shut in; lock up 3 （倒閉; 歇業） close down...
  • 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  • 相關 : be interrelated; be related to; be bound up with; correlation; dependence; relevance; mutuality
  1. Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network

    ） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （
  2. In this thesis, we adopt the technique of statistical training, create a sample database of every kinds of expression face images, construct a matrix of the difference of each sample and average image, and reduce dimension by pca, then decrease the relativity of principle components by ica, and therefore get the character sub - space of face. when detecting a face, we adopt the method of disturbing principle components of model to match special facial image, which is called whole optimization method in this thesis

    論文採用統計訓練的思想，選擇包括各種表情變化的人臉圖像建立樣本庫，取所有樣本與平均圖像的差構造一個矩陣，利用主元分析方法進行降維，然後通過獨立元分析降低主元相關性，建立了人臉的特徵子空間；演算法採取對主元進行擾動優化匹配的方法檢測人臉，本文稱此方法為全局最優的方法。
  3. Firstly, the paper introduces the development and application of computer graphics & image technique, discusses the principle and method of cg and digital image processing, such as matrix of the graphic transformation, homogeneous reference frame, sampling and quantization of the image, file format of the image, template operation, etc. secondly the paper introduces the purpose and method of image enhancement processing, explains the each occasion of those methods such as threshold transformation, smoothing processing, sharpening processing, analyzes and contrasts the processing results of object image. thirdly, the paper introduces the method of mathematics morphologic, edge detection and thinning processing, attains character description of image and character dots of the contour. fourthly, the paper processes the coordinate transformation to character dots and basic splines fitting, imports correlative condition to devise meshing line and meshing track

    本文首先介紹了計算機圖形圖像技術的發展與應用情況，對計算機圖形學和數字圖像處理的一些基本理論和方法如圖形變換矩陣、齊次坐標系、圖像采樣和量化、圖像文件格式、模板操作等內容進行了討論：然後對圖像增強處理的目的和方法進行了介紹，對諸如閥值變換、平滑處理、銳化處理等方法的應用場合進行了說明，並對實物圖像的處理結果進行了分析與比較；接下來介紹了數學形態學方法、對增強后的圖像進行邊緣檢測的方法和圖像的特徵描述方法，並獲取輪廓的特徵點：隨后對獲取的特徵點進行坐標變換，並進行b樣條曲線擬合，引入相關條件生成齒輪副的嚙合線及嚙合軌跡：最後引入等值線和區域填充表示方法，並以等值線和區域填充的形式對弧齒錐齒輪嚙合模擬的載荷分佈情況進行了直觀的表示。
  4. Sample correlation matrix

    樣本相關矩陣
  5. Chapter 5 is focused on the studies on the equivalent conditions for maximum value convergence of sums of independent random matrix sequences, and the sufficiency condition of the strong consistency of m estimator of regression parametric in linear model for negatively associate samples, thus enriching and strengthening the results of a series of papers

    第五章得到了獨立陣列和（含加權和）的最大值完全收斂的等價條件，從而豐富和強化了前人的一系列結果獲得了負相關樣本線性模型中回歸參數m估計是強相合的較弱的充分條件
  6. However, when the system sample number and the number of antenna array elements are finite, or snr is low and the incident signals are correlated or coherent, the performance of the algorithm sharply decreases and the algorithm even becomes invalid

    但是當系統樣本數、天線陣元數有限，信噪比較低以及入射信號為相關或相干信號時，演算法性能急劇下降甚至失效。
  7. The method presents an optimal metric distance function based on a simple cluster and a little training data and by learning a distance metric m that respects these relationships

    提出一種理想的距離度量函數，在對圖像進行簡單分類並提供少量訓練樣本的基礎上，通過類的距離度量矩陣m的學習來考慮分量之間的相關性。
  8. Finally, the article uses the testing device get the quantitative signals of mixed gas. with which the article train the artificial network and test the net by the theory of artificial network. and the result shows that the net can fulfill our requirements

    接著利用實驗裝置，採集了傳感器陣列的定量輸出信號，根據bp神經網路的相關理論，利用樣本信號對網路進行了訓練和驗證，結果基本滿足要求;隨后根據網路各層的權值和閾值，將網路移植到單片機中。
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