最小相對熵 的英文怎麼說

中文拼音 [zuìxiǎoxiāngduìshāng]
最小相對熵 英文
minimum relative entropy
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 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...
  • 對 : Ⅰ動詞1 （回答） answer; reply 2 （對待; 對付） treat; cope with; counter 3 （朝; 向; 面對） be tr...
  • 熵 : 名詞[物理學] entropy; thermal charge
  • 相對 : 1. （面對面） opposite; face to face 2. （非絕對的） relative 3. （比較的） relatively; comparatively
  1. Results the numerical example shows that fuzzy relative entropy method and maximum - minimum closeness method have the same results for fuzzy pattern recognition

    結果數值例子說明模糊相對熵方法和最大最小貼近度方法得出了一致的模糊識別的結果。
  2. The dynamic adjustment of an alluvial river has a tendency that the entropy production or the rate of energy dissipation of flow is minimum rather than the entropy is maximum when a river is in a relative equilibrium condition

    當河流處于相對平衡狀態時，水流的熵產生或能耗率為最小值。最小熵產生原理或最小能耗率原理保證了河流在相對平衡狀態的穩定性。
  3. Minimum relative information entropy method for determining weights of region water resources allocation

    確定區域水資源分配權重的最小相對熵方法
  4. The processing results of real data show that the effects processed by cma and mec is equivalent

    實測數據結果顯示，對比度最大化與最小熵準則自聚焦的視覺效果基本相同。
  5. Firstly, the principle of phase gradient autofocus and rank one phase estimate and its advanced are detailed. secondly, it proposes an algorithm of fast maximum contrast phase compensation after discussing its similar algorithm fast minimum entropy phase compensation

    討論了經典的相位梯度自聚焦演算法、秩一相位誤差演算法及其改進形式;在討論快速最小熵相位補償演算法的基礎上，提出了對比度最優相位調整演算法，實測數據處理表明了該演算法的有效性。
  6. An information entropy - based uncertainty measure is presented first based on generalized rough set model in this paper, which is suitable for evaluating rules retrieved from noisy data. second, this paper puts forward generalized minimal - and - maximal - rules - learning methods and generalized maximal - minimal - rules - conversion model because we can encounter noisy problems in most real - life problems. third, this paper puts forward a new discretization method for the continuous attributes, which is based on the clustering and rough sets theory

    本文在對粗集及其相關理論的研究基礎上，首先給出了一種基於推廣粗集模型和信息熵的規則不確定性量度，該不確定性量度適于評價從有噪音數據中提取的規則；鑒于實際應用中經常能遇到噪音的問題，本文提出廣義極小極大規則學習方法，同時還提出了廣義極大極小規則轉換模型gmm ；最後，本文基於聚類方法、結合粗集理論提出了一種新的連續屬性離散化方法。
  7. By dividing fabric image into many windows with the same size, choosing a window with minimum local entropy as a region of interest, thresholding the region and filtering out noise through opening function of mathematical morphology, calculating the defect shape factors as recognition parameters, a algorithm and method of detection of defects in fabric is studied : which has advantages of high identification, correctness, and fast inspection speed mainly because it can avoid complicated calculation of whole image and global searching when the feature parameters are extracted

    摘要將織物圖像分成大小相同的局部窗口，選取局部熵最小的窗口為待研究的感興趣區域，在此區域內分割出疵點圖像並用數學形態學中的開運算濾除噪聲，計算疵點形狀因子等作為識別參數，研究表明此方法因能避免對整幅圖像進行復雜運算，在提取特徵參數時對圖像的全局搜索，具有識別正確率高、檢測速度快等優點。
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