最大熵法 的英文怎麼說

中文拼音 [zuìdàshāngfǎ]
最大熵法 英文
entropy maxization, maximum entropy method
  • 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
  • 熵 : 名詞[物理學] entropy; thermal charge
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. A context - dependent polyphone disambiguation technology was proposed, combined with the decision tree and maximum entropy methods, the accuracy can be improved to 99. 82 %

    採取結合上下文信息及語法信息的多音字消歧技術，利用決策樹和最大熵等模式識別方法，使注音正確率達到99 . 82 % 。
  2. The method based on the principle of maximum entropy ( pome ) is applied to analyze the distributions of flood forecasting errors for some typical reservoirs in humid and semi - humid regions

    摘要採用最大熵原理（ pome ）方法，對我國濕潤和半濕潤地區部分典型水庫的洪水預報誤差分佈規律進行了研究。
  3. Thirdly, a novel parameter - varying adaptive algorithm for rtt and rto estimations based on the information theory and the maximum entropy principle ( mep ) is presented. it is used in the implementation of trinomial protocol to detect packet losses and to adjust the sending rate

    再次，給出了一種新的基於信息理論和最大熵原理（ mep ）的變參數自適應rtt和rto估計演算法，在三項式協議實現過程中用於探測丟包及速率調整。
  4. The problem discussed in this paper is to separate two ( or more ) input signals from observed signals which are generated by passing input signals through diffrent unknown multi - input multi - output linear systems. it is proved that the input signals can be separated when they are independent identitically distributed ( i. i. d ) signals. a new algorithm for multi - input multi - output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters

    本文研究的問題是從觀察信號中分離出兩個（或者更多個）輸入信號，其中每一組信號分別通過不同的未知多輸入多輸出線性系統.本文證明了當輸入信號是兩兩相互獨立的獨立同分佈信號時可以分離出輸入信號，並導出了基於最大熵的多輸入多輸出盲解卷新演算法.這個演算法不需要任何關于輸入信號和混合濾波器的先驗知識
  5. Applied the maximum entropy calculation method to fit the distribution of extremes for dynamic response processes, a quasi - static analysis method on dynamic reliability of cwr stability is established

    基於反應過程極值分佈最大熵擬合法，提出了無縫線路概率穩定性動力可靠度的擬靜力分析方法。
  6. The paper gives a survey on three approaches of statistical machine translation and the evaluation methods used in smt, the basic idea of parallel grammar based approach is to build parallel grammars for source and target languages, which conform the same probabilistic distribution

    摘要本文綜述了基於信源通道思想和基於最大熵思想的統計機器翻譯方法並介紹了統計機器翻譯的評測方法。
  7. The paper discusses the maximum entropy spectral estimation algorithm and its application in icw ( interrupted - continuous wave ) radar in the aspect of theoretics and engineering

    論文從理論和應用兩個角度對最大熵譜預測外推演算法以及在中斷連續波雷達中的設計實現進行了研究。
  8. The thesis, applies the auto - adaptive theory to the arithmetic for mese ( maximum entropy spectral estimation ), and presents new lsll arithmetic for mese, which is based on method of the recursive least square with forgetting factor

    將自適應理論引入最大熵譜估計的演算法研究中，提出帶遺忘因子的基於最小平方準則的最大熵譜估計lsll格梯型演算法。最大熵譜估計演算法的定階準則研究。
  9. Based on the characteristics of information, there are two kinds of consistence test methods : static method and dynamic one. static consistence test method contains rank sum test, mood test, etc. as for the dynamic consistency test methods, the emphasis is focused on spectrum analyses, such as maximum entropy spectrum estimation, etc. in engineering applications, constituting precision evaluation projects of diverse war indexes have been intensively analyzed, all steps of evaluation have been synthetically analyzed and applied to engineering : an integrated evaluation example is provided

    驗前信息的一致性檢驗的優劣對小樣本下試驗鑒定的影響是很大的，文中根據驗前信息的特性給出了小樣本靜態檢驗方法和動態檢驗方法，靜態檢驗法有秩和檢驗、 mood檢驗法等，動態檢驗中重點對頻譜檢驗法，如對最大熵譜等作了理論分析。
  10. In this paper, data gathered during 1957 - 1996 were used to study the climatological variability in the northern ecs, through statistical methods such as eof decomposition, correlation analysis, and maximum entropy spectrum analysis. the conclusions were drawn as follows : 1

    本文利用1957 1996年東海溫鹽的觀測資料，通過統計平均、 eof分解、相關分析、最大熵譜分析等方法，對東海北部夏、冬季溫鹽年際年代際變化特徵及其成因進行了初步探討，得到以下結論： 1
  11. In this paper, the climatic variation features and spatial and temporal distribution of the flood and drought in zhejiang province were analyzed by using 36 monthly and seasonal station data during 1961 - 1999 observed over zhejiang province, 160 rainfall and temperature data during 1951 - 1999 observed over china, northern hemisphere 500mb height data during ! 961 - 1999, the planting and flood disasters area data in zhejiang province during 1949 - 1998. we used many method : calculated trend coefficient of rainfall and temperature, used eof, reof, ssa ( singular spectrum analysis ) and mem ( maximum entropy spectrum ) method and synoptic method. we first studied the climatic variation features of summer and autumn and characters of the flood and drought in zhejiang

    本文用1961 - 1999年浙江省36個氣象觀測站的降水量和氣溫資料、 1951 - 1999年全國160站的降水量和氣溫資料、 1961 - 1999年500hpa月平均高度資料和1949 - 1999年浙江省11個地市的受災面積、成災面積、耕地面積等資料，通過計算趨勢系數、變量場eof分解、旋轉eof分解、奇異譜分析和最大熵譜分析等多種統計學方法和天氣學方法，研究了浙江省氣候變化特點及旱澇災害時空分佈的特徵。
  12. Regardless using nerve net, ica or me method, it is difficult to separate the mixed ds / cdma signal in low snr condition

    而不管是神經元網路法， ica法還是最大熵法一般情況下都難以在低信噪比情況下正確分離出混合的ds / cdma信號。
  13. In this paper, we described the two categories of algorithms, especially the fbp algorithm and the emml algorithm. and this paper introduced a new algorithm called maximum entropy ( me ) algorithm. at last, we experimented on computer using some algorithms and got some useful conclusion

    本文分別詳細介紹了兩類演算法中常見的一些演算法，如濾波反投影法（ fbp ）和最大似然法（ emml ）等，並且在此基礎上提出了一種新的演算法? ?最大熵法。
  14. Secondly, this paper mainly put forward different grey level threshold value segmentations of plane target after brief analyse the smooth and sharp image of image strengthen technology, segmentation for the overall situation, adopt the maximum variance method, the maximum entropy combine with adaptive threshold selection method, the maximum variance ration between two classes and in two classes ; segmentation for the part situation, has adopted the adaptive threshold value method ; to background more complicated segmentation, have adopted the two - dimentional maximum entropy method

    其次，在簡要的分析了圖像平滑和銳化的圖像增強技術后，重點研究了飛機目標的灰度分割，提出不同的灰度閾值分割方法進行圖像分割，對于全局分割，採用了最大類間分割法、最大熵與一致性準則相結合法、最大類間類內方差比法;對于局部分割，採用了自適應閾值法;對于背景較復雜的分割，採用了二維最大熵法。
  15. There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated

    空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。
  16. At the doppler centroid aspect, this paper make use of maximum value method ; energy method and autocorrelation function method to estimate doppler centroid. at the doppler frequency aspect, this paper make use of image offset method ; time - frequency method ; minimum entropy and fractional fourier transformation method to estimate doppler frequency rate

    在多普勒參數估計中，採用了最大值法、能量法和自相關函數法進行多普勒中心頻率估計;採用了圖像偏移法、時頻分析法、最小熵法和分數階傅里葉變換法進行多普勒調頻斜率估計。
  17. In this paper, we present a new method on feature extraction which uses hownet as semantic resource, and use maximum entropy model to realize it

    本文提出了一種使用知網作為語義資源選取分類特徵，並使用最大熵模型進行分類的新方法。
  18. 2. investigating how to model the wsd. the na ? ve bayes model, maximum entropy, support vector machine and decision trees model are examined in chinese wsd

    2 .考察了貝葉斯模型、最大熵模型、支持向量機和決策樹模型等四種數學建模方法在詞義消歧上的應用效果。
  19. Neural networks are used more frequently in lossy data coding than in general lossless data coding, because standard neural networks must be trained off - line and they are too slow to be practical. in this thesis, statistical language model based on maximum entropy and neural networks are discussed particularly. then, an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis

    傳統的人工神經網路數據編碼演算法需要離線訓練且編碼速度慢，因此通常多用於專用有損編碼領域如聲音、圖像編碼等，在無損數據編碼領域應用較少，針對這種現狀，本文詳細地研究了最大熵統計語言模型和神經網路演算法各自的特點，在此基礎上提出了一種基於神經網路和最大熵原理的算術編碼方法，這是一種自適應的可在線學習的演算法，並具有精簡的網路結構。
  20. As far as the system observation for accuracy evaluation of carrier rocket is concerned, there may exist different types of observed data and priors. heterogeneous information means that the different information describing the different characteristics of the same object. since all of the information is relevant to the same object, the fusion is possible. it is a key problem that how to fuse the heterogeneous information to obtain the better evaluation result. therefore, the different heterogeneous information and data is thoroughly studied, moreover, the mathematical description for information fusion of different parameter priors and data is constructed in this paper. based on their relationship between different parameters, indirect prior and observation data is transformed into prior in impact point observation space, which is fused with original prior by weight determined by maximum entropy rule to obtain the mixed posterior distribution. therefore, the test results can be given by combining posterior distribution and impact error observed data. then its application on evaluating guidance systematic error is elaborated as it applies trajectory tracking data, test value of coefficients of guidance instrumentation systematic error, impact point observation data and prior. especially, the advantage of this method lies in its application in case that guidance instrumentation systematic error may not be computed precisely. finally a detailed example on evaluation of carrier rocket is given to verify the theory

    為充分利用運載火箭觀測中的不同觀測空間和過程的信息來進行精度評估，針對該背景建立了異質先驗融合的數學描述.研究了飛行試驗中不同觀測空間和過程的異質先驗信息和數據，基於不同觀測過程的解析關系，將間接過程的先驗和觀測數據算出的后驗分佈轉換成落點觀測空間上的先驗，與原落點的先驗進行了最大熵加權融合，得到混合后驗分佈，從而結合落點觀測數據給出評定結果.在無法解算出精確的制導工具誤差系數的情況下，這種方法充分利用了彈道跟蹤數據、工具誤差系數的地面測試先驗值、落點先驗及落點數據，穩健性更好，準確性更高
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