離散熵 的英文怎麼說

中文拼音 [lísǎnshāng]
離散熵 英文
discrete entropy
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 散 : 散動詞1. （由聚集而分離） break up; disperse 2. （散布） distribute; disseminate; give out 3. （排除） dispel; let out
  • 熵 : 名詞[物理學] entropy; thermal charge
  • 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
  1. In the end, by the logic theory of analogism, the paper gets the logistics optimized model of operation entropy in discrete manufacturing system of job - shop ordering type

    最後，利用類比推理的邏輯學理論得出單件小批訂貨型離散製造系統物流優化運行熵模型。
  2. In the fields of fluid dynamics, entropy inequality reflects the second law of thermodynamics. i. e. entropy must increase across shock waves ( a kind of discontinuity ). all kind of approximate schemes should reflect the fact that it must satisfies some kind of discrete entropy inequality ). from the view of practical computation, stability and theo - retical error of any kind discrete schemes all dependend of the smoothness of the solution of ( 0. 2. 1 ). generally, the approximate solution have good stability and theoretial error in the area where the solutions have more regularity and poor stability and theoretial error in other area

    從流體力學來看，它事實上是熱力學第二定理的反映，即熵越過激波（一種間斷）要增加。各種估計格式構造的估計解應反映這一事實，即滿足熵不等式。從實際計算來看，總是通過離散化求解，不考慮計算的積累誤差，它的穩定性與計算精度都依賴與真解的光滑性，一般說，在解較光滑的區域有較好的穩定性與計算精度，而在較粗糙的區域則相反。
  3. Through some specific experiments, we analyse and compare the characters of some discretization methods such as hierarchical clustering analysis, recursive minimal entropy method, and one - rule

    通過具體實驗，分析和比較了層次聚類法、遞歸最小熵法和one - rule等離散化方法的性能特點。
  4. According to the description of fcd 15444 - 1, a j2k coding model is put forward. that is the innovation aspect of this paper. processes in the model such as discrete wavelet transform, quantization, arithmetic entropy coding, tiling etc are analyzed

    本文提出了一個實現fcd15444 - 1的j2k編碼模型，並對該編碼模型中的離散小波變換、標量量化、算術熵編碼、分塊以及其他過程進行了分析，並且本文給出了該模型編碼解碼的各個部分的相關實現。
  5. The method merges areas from the top down. neither it divides the area, nor it uses the recursion procedure that often used in entropy discretization. and further, it avoids the process of trying to find the split point using very values

    該方法至下而上地合併區間，不分解區間，也不採用熵的離散化方法所用的遞歸進程，更避免了熵方法中必須對每一個值進行試探來選擇分割點的弱點。
  6. Moreover, a strategy for imputation of null values based on changed precision model is put forward to improve anti - disturbing ability of model secondly, several primary algorithms are indrouced and discussed, the direction and target of discretization is analysised, to gain logical cuts, a method to discretize continuous attributes based on rough entropy is brought forward at last, the potential client datamining system in electronic commerce is put forward, all given algorithms is applied to the system, and compared by test results, and the new idea of this paper is simply described and some problems in this paper that need to improved on are proposed

    然後，對目前流行的離散化演算法進行了詳細的分析和評價，指出了離散化的方向和目標，並提出了基於粗糙信息熵的離散化演算法，以便在保證劃分后決策表相容性的前提下，獲得比較合理的劃分點。最後，提出了電子商務的潛在客戶挖掘系統，並將前面提出的基於粗集的演算法理論應用到該系統中，同時和其他幾種現有的數據補齊和離散化演算法進行了實驗比較和結果分析。並指出本文創新之處以及存在的問題和努力的方向。
  7. Naive bayesian classification algorithm is not satisfying when deployed to continuous attribute. therefore, the paper proposes a new discretization method under the hint of holte ' s 1r ( one rule ) discretization technique and the mechanism of entropy

    樸素貝葉斯分類演算法應用於連續屬性值時並不太理想，為此本文結合holte的1r離散化方法和熵的原理，提出了一種新的離散化方法。
  8. The system is composed with six sections which are entropy decoder, inverse z transform, inverse quantization, inverse discrete cosine transform ( idct ), up sampling and color space transform

    Jpeg解碼演算法主要由熵解碼、逆z變換、反量化、反離散餘弦變換、內插和色度空間轉換六部分組成。
  9. 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。
  10. 2, to be an improvement of discretization method based on rough set theory and boolean reasoning, algorithms for discretization in mixed real and discrete attributes system are proposed, functions based on information entropy are presented to analysis the results of discretization quantitatively, and the effects of discretization for knowledge acquisition are discussed

    基於布爾邏輯與粗糙集相結合的離散化方法，提出了連續離散屬性混合系統離散化的策略和啟發式演算法，在信息熵的基礎上，提出了一種對離散化結果進行評判的標準，並對布爾邏輯離散化方法和混合離散化演算法進行了評價。
  11. Segmentation of chromosome : the chromosome image is segmented by the method of boundary gray level threshold and entropy algorithm based on genetic algorithm, then, after boundary smoothing and edge tracing, the chromosome position information is acquired. 2. diagnostic extraction of chromosome : on the basis of skeleton pixel after thinning, the medial axes are obtained by the orthogonal approximation

    主要研究內容如下: 1 、染色體圖像分割:採用基於邊界灰度的門限演算法和基於遺傳演算法的熵演算法來尋找染色體圖像二值化需要的分割閾值，對分割后的圖像存在的噪聲分別採用內插來置換和邊界跟蹤來消除; 2 、染色體特徵提取:採用細化技術將染色體細化一些離散的骨架點，用插值方法獲得平滑的曲線染色體中線。
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