相對熵 的英文怎麼說

中文拼音 [xiāngduìshāng]
相對熵 英文
relative-entropy
  • : 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...
  • : Ⅰ動詞1 (回答) answer; reply 2 (對待; 對付) treat; cope with; counter 3 (朝; 向; 面對) be tr...
  • : 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. The main content of this dissertation is as follows : this dissertation introduces in details the basic conditions that bipartite entanglement measure should satisfy and the five entanglement measure, von neumann entropy, formation of entanglement, distillation of entanglement, relative entropy of entanglement and entanglement monotone. this dissertation presents that for a class of states, their relative entropy can be calculated analytically

    主要內容包括:詳細闡述了兩體糾纏度量須滿足的基本條件,以及五種基本糾纏度量: vonneumann、結構糾纏、提取糾纏、相對熵糾纏和糾纏單調,給出了一類態相對熵糾纏的解析計算公式。
  2. First, one main work of test equating is to estimate equating coefficients, in the paper in the light of item response theory an abstract form is introduced, which makes all test equating methods in uniform, by the abstract form, the relationships among the existed methods being found out, and some new methods being derived, including relative entropy equating method and logcontrast equating method

    本文在項目反應理論( itemresponsetheory , irt )框架下提出了一種抽象形式將目前已有的各種等值系數估計方法統一表示,通過統一表示找出了各種等值方法之間的關系,並導出了幾種新的等值方法,其中包括相對熵( relativeentropy )等值法和照( logcontrast )等值法。
  3. Aim in order to study the application of fuzzy relative entropy for fuzzy pattern recognition

    摘要目的研究模糊相對熵在模式識別中的應用。
  4. Conclusion fuzzy relative entropy method is more significant for fuzzy pattern recognition

    結論模糊相對熵方法用於模式識別是很有實際意義的。
  5. Methods according to the modified fuzzy relative entropy formula, the application of fuzzy relative entropy for fuzzy pattern recognition is studied

    方法利用模糊相對熵的一個修正公式加權模糊相對熵研究模糊相對熵在模糊模式識別中的應用。
  6. 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。
  7. 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

    當河流處于平衡狀態時,水流的產生或能耗率為最小值。最小產生原理或最小能耗率原理保證了河流在平衡狀態的穩定性。
  8. Based on result of the multiple objective optimization, this dissertation investigates the multiple objective decision of mixed - model flow m anufacturing system. in allusion to the pareto frontier, in terms to the assistant information of decision schemes, the preference of objectives, the preference of decision schemes, individual decision - making and group decision - making are gained through the measure function, 0 - 1 programming and relative entropy combining with subjective and objective factors

    在多目標優化的基礎上,研究了混合流水生產系統的多目標決策問題,針多目標協同優化得到的pareto前端,依據決策方案的輔助信息、指標有偏好的信息以及決策方案有偏好的信息等,採用測度函數、 0 - 1規劃方法以及相對熵的方法,結合主客觀因素進行多目標個體決策和群體決策,把多目標優化與多目標決策聯系起來。
  9. Through analysis of potential vorticity in equity - entropy surface field, a relatively high potential vorticity center in cyclone top in low - troposphere have discovered, and make cyclone develop in a more deep cyclone circulation by this ; and an anticyclone circulation zone with more severe low potential vorticity in high - troposphere

    通過面的位渦分析,發現了流層中低層的位渦場,在氣旋上方有一個高位渦中心,由此使得氣旋在一個比較深厚的氣旋性環流中發展;而流層高層則是一個伴有較強位渦低值的反氣旋環流區。
  10. Thermodynamic entropy, in contrast, depends on the states of all the billions of atoms ( and their roaming electrons ) that make up each transistor

    與此照,熱力學的大小取決于數十億個構成電晶體的原子(及其漫遊電子)的狀態。
  11. Constructing phylogenic trees based on relative entropy theory liu jun, xu furong

    基於相對熵原理構建生物進化系統樹[劉軍,許甫榮]
  12. Constructing phylogenic trees based on relative entropy theory ( liu jun, xu furong )

    基於相對熵原理構建生物進化系統樹[劉軍,許甫榮]
  13. The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling

    劉文教授在解決大數定律中,用首創的分析方法得到一類隨機變量序列的強偏差定理。后來,劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究,得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念,並利用這個概念研究任意信源二元函數的一類強偏差定理,得到了馬氏信源shannon - mcmillan定理的一個推廣。
  14. Symmetric relative entropy criterion, srecrit

    相對熵等值方法
  15. A multi - level enhancement algorithm for images based on fuzzy logic

    一種基於相對熵的圖像模糊增強方法
  16. The cross - entropy method

    並利用相對熵方法
  17. 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
  18. Influence of the dipole - dipole interaction between atoms on the entanglement degrees of the relative entropy in the tavis - cummings model

    模型中原子間偶極互作用相對熵糾纏度的影響
  19. The security conditions of one - time - used channels are given. the probabilistic detection of subliminal channels mainly under bernoulli test with binomial distribution is studied. some results of the security of many - time - used channels in hypothesis test model based on relative entropy are obtained

    給出了一次使用通道的安全條件,研究了隨機性的統計檢測方法,主要是貝努利試驗二項分佈情況下的統計檢測,給出了基於相對熵的假設檢驗模型下關于多次使用通道安全性的一些結果。
  20. This algorithm uses approximate entropy index ' s projection pursuit based on real coding genetic optimize algorithm ( rcgoa - pp ) to project the targets information hided in the high - dimensional data into low - dimensional space and then extract small targets with histogram image segmentation method

    該演算法用基於近似相對熵的實碼遺傳優化投影尋蹤方法( rcgoa - pp ) ,有效地將高維數據中隱藏的目標信息集中投影到低維空間中,並用直方圖分割的方法提取出小目標。
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