線性分類 的英文怎麼說

中文拼音 [xiànxìngfēnlèi]
線性分類 英文
linear classification
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  1. Existence of solutions and properties for nonlinear fractional bilevel programming

    一類非線性分式雙層規劃的解及其性質
  2. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  3. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  4. Ldpc ( low density parity check ) code is a kind of linear block code that defined by very sparse parity matrix or tanner graph, and it is also called gallager code since gallager initially presented it

    Ldpc （ lowdensityparitycheck ）碼是一類用非常稀疏的校驗矩陣或二分圖定義的線性分組糾錯碼，最初由gallager發現，故亦稱gallager碼。
  5. Through the theory of light radiation and intensity, we can use the fewest leds to satisfy the luminous intensity demand. through image segmentation theory, we can accurately pick module up from the test stripe when it is put in wrong directions. through image processing theory, we can acquire correct information and avoid the bad effects from the asymmetric chemistry reaction and instability of the devices

    用光的輻射和強度理論，我們計算出了獲得足夠圖像強度所需的最少光源;用圖像分割理論，我們在試紙條傾斜放置或有垂直方向上的偏移時，準確地提取出了各模塊的數據;用平滑濾波和均值濾波理論，我們濾除了由於反應不均勻及硬體設備不穩定帶來的噪聲;用交遇區設計線性分類器的方法，我們降低了有限樣本設計線性分類器帶來的誤差，提高了檢驗準確度。
  6. The main research contents of the physical design include : presenting the domestic and international status of space weather and expanding on the need and the importance about the space weather forecast ; sorting the disastrous space weather and discussing their effects and adapted prediction methods ; analyzing the solar disturbing resources of space weather and the precursor or concomitant phenomena of solar eruption based on the newest observational results ; probing into the radiation principle of solar short - wave ray and presenting the computing methods about solar continuum and line spectrum radiation ; extrapolating physical methods of reconstructing the temperature and the emission measure of coronal plasma ; argumenting the effective observing spectrum for space weather empirical forecast and space weather numerical forecast

    物理設計的主要研究內容包括：分析目前國內國際空間天氣預報的發展現狀及開展空間天氣預報的必要性和重要性；分類討論了災害性空間天氣的種類、影響及目前國際上的預報方法：分析了空間天氣太陽擾動源及擾動源爆發的先兆現象或者伴生現象；討論了太陽短波輻射線譜和連續譜輻射強度的計算方法：推導了利用望遠鏡多波段的觀測結果反演日冕等離子體溫度、發射量等參數的物理方法：論證了開展空間天氣經驗預報和發展數值預報有效的成像譜段。
  7. Then we go to details of the ideas of compression algorithms based on ifs theory, such as range block search, fixed threshold, adaptive threshold, linear classification, and so on

    這些演算法包括：全局分塊搜索演算法、固定門限法、自適應門限法、線性分類法、四分之一塊灰度排列法和基於塊合併的壓縮演算法。
  8. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  9. These three classifiers are a linear classifier based on fuzzy features, a hierarchy classifier based on features of geometry definitions and a distance classifier based on frequency features of stroke curvature

    使用的分類器分別為基於模糊特徵的線性分類器、使用幾何定義特徵的分層分類器以及基於曲度頻域特徵的距離分類器。
  10. The operating object of all these linear classifiers is vector pattern, i. e., before applying them, any non - vector pattern should be firstly vectorized into a vector pattern

    然而現有的線性分類器幾乎都是針對向量模式的，即所有的模式都採用向量表示，要應用於矩陣表示的模式，必須首先將矩陣模式轉換成向量模式。
  11. In this paper, inspired by the method of feature extraction directly based on matrix patterns and the advantage of mhks, we develop a new mhks classifier based on matrix patterns ( matmhks ). the method can mitigate the above shortcomings. we also make a further try of applying the algorithm proposed above to breast cancer detection

    受到已有面向矩陣的特徵提取方法的啟發，本文將此方法引入到正則化h - k線性分類器的設計中，設計出面向矩陣模式的雙邊正則化h - k分類演算法matmhks ，克服了以上不足，並繼承了mhks演算法的優點。
  12. Perceptron, relaxation, mse and ho - kashyap ( hk ) algorithm. hk is not robust to outliers. the modified hk with square approximation of the misclassification errors ( mhks ) tries to avoid this shortcoming and adopts similar principle to the support vector machine to maximize the separation margin

    線性分類器因其簡單、易於分析和實現且容易推廣為非線性分類器的優點而成為模式分類最常用的分類器，並產生了感知器（ perceptron ） 、鬆弛演算法（ relaxation ） 、最小平方誤差（ minimumsquareerror ， mse ）和ho - kashyap （ h - k ）演算法等經典演算法。
  13. In the project we process the data with the methods of smooth filter, boundary division technique and fisher linear sorting method

    演算法上採用了平滑濾波技術，邊界分割技術和交遇區方法設計fisher線性分類器。
  14. But, such a vectorization will bring at least three potential problems : 1 ) structural or local contextual infor mation may be broken down ; 2 ) the higher the dimension of input pattern, the more me mory space are needed for the weight vector related to a classifier ; 3 ) when the dimension of a vector pattern is very high and while the sample size is small, it is easy to be overtrained

    如此轉換至少會帶來三個不足: 1 ）空間或結構信息可能會遭到破壞; 2 ）由於權向量的維數等於輸入模式的維數，當輸入模式維數很大時，權值的存儲空間相應的會很大; 3 ）對于大維數的向量模式，當樣本數不多的時候，利用線性分類器易導致過擬合。
  15. Therefore studying multi - class nonlinear object classification is significant for the development of automatic video comprehension

    解決多目標非線性分類問題，對于自動視頻理解技術的發展有重要意義。
  16. Experimental results show that these three classifiers can get high recognition rate. they are simple, efficient, nonlinear and suitable for rtr. 2

    模擬結果顯示這三類分類器適合應用於雷達目標的分類識別，且具有很高的識別率，是一類簡單、高效的非線性分類器。
  17. There are many conventional classifiers, which are generally divided into two categories : linear classifiers and nonlinear ones

    分類器一般分為線性分類器和非線性分類器。
  18. Secondly, in the different level of pattern recognition, we realize feature - level fusion based on neural network and score - level fusion based on multi - classifier. thirdly, some opinions about application of multi - biometrics are given and corresponding prototype systems are realized

    二、依據模式識別的不同層次，分別實現了特徵層的整合和分數層的整合，特徵層整合採用了神經網路方法，分數層整合採用了多層線性分類器方法。
  19. Main works based on the newspaper samples is just as the following : ( 1 ) texture block is designed to embody more font characters. ( 2 ) filter orientation is optimized with genetic algorithm to make the angle set subtler. then the multi - channel gabor filter may extract better features

    通過對實際字體樣本的分析，本文主要完成了以下工作： （ 1 ）設計了更能體現字體特徵的紋理圖像塊； （ 2 ）利用遺傳演算法對濾波角度進行了優化選擇，得到了更為精細的角度集合，以此生成的多通道gabor濾波器能夠提取穩定的字體特徵； （ 3 ）字體樣本的分佈具有多峰性質，以動態聚類演算法得到的分段線性分類器更好地分類字體。
  20. Secondly, a measure of a gene set is proposed for evaluating the expression level difference of the genes in the set, which is a combination of the fisher linear classification and the t - statistic method and give a relevance value to every gene in the set as well as to the whole gene set

    第二，提出了一個度量基因集合表達差異性的測度fldt ，該測度將fisher線性分類與t - statistic相結合，不但能夠給出基因集合整體進行評價，而且同時能夠對集合中每個基因的進行評價。
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