熵原理 的英文怎麼說

中文拼音 [shāngyuánlǐ]
熵原理 英文
pome
  • 熵 : 名詞[物理學] entropy; thermal charge
  • 原 : Ⅰ形容詞1 （最初的; 原來的） primary; original; former 2 （沒有加工的） unprocessed; raw Ⅱ動詞（原...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  1. 4. practical meteorology : isopleths analysis ; streamline analysis ; use of tephigram ; interpretation of weather charts ; weather observations ; codes in common use ; principles and exposure requirements of weather instruments ; telecommunications procedures

    4 .實用氣象學：等值線分析流線分析溫熵圖應用天氣圖解釋天氣觀測通用電碼氣象儀器原理及安裝條件電信程序。
  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. Used the most information entropy principle prove the follow statement : when the population get equilibrium, the genotype information entropy and gametal information reach the maximum, gametal information entropy is the sum of every locis information entropy, genotype information entropy is equals two times of gametal information entropy

    用最大熵原理證明了群體平衡時，基因型信息熵及配子信息熵最大，配子信息熵為各位點信息熵之和，基因型信息熵為配子信息熵的兩倍。
  5. Using entropy theory, the droplet distribution of diesel spray is predicted in this paper as well

    運用最大熵原理，對柴油在不同噴油條件下的粒度分佈做了預測。
  6. A distribution function of droplet volume was derived using the information entropy

    採用最大熵原理，推導出噴霧場液滴體積分佈函數。
  7. The principle of possible maximal entropy

    最大可能熵原理
  8. Principle of minimum dissipation of entropy

    最小耗熵原理
  9. A study of comprehensive evaluation for listed company based on entropy principle

    基於熵原理的上市公司綜合評價研究
  10. Minimum entropy principle

    最小熵原理
  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 information entropy theory is applied to transform component test data into system test data

    利用系統信息熵原理，將部件的試驗數據摺合為系統的試驗數據，獲得系統的子樣數。
  14. The algorithm makes use of maximum entropy of information theory and gets optimal solution by a small - scale

    該演算法利用了信息論中極大熵原理，使演算法以較小的規模得到較好的最優解。
  15. 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。
  16. As the expriment result shows, we can use the range of misclassification rate ( which the maximum entropy model supports ) as the indicator of whether a process is attacked

    最後，我們運用最大熵原理建立進程調用序列的最大熵（分類）模型，運用模型預測系統調用和利用誤分類率為檢測指標，以達到更好地檢測入侵目的。
  17. Based on the minimum cross entropy theory, a new model, which can forecast mortality distribution by minimizing the cross entropy function subject to the future life expectancy of insurants, is proposed

    基於最小叉熵原理，建立了預測被保人死亡率分佈的一個模型最小叉熵模型，該模型以叉熵函數作為目標函數，以被保人的預期壽命作為約束條件，通過最小化叉熵預測被保人的死亡率。
  18. In this paper, we propose a modified minimize entropy principle approach ( mmepa ) and extract classification rule, and then build the classification tree model

    在這里，提出一種基於mmepa （改進的最小熵原理方法）的決策樹構造方法，並通過一個實例對其進行說明，用此方法提取分類規則，構造決策樹模型。
  19. Firstly, some basic algorithms for inducing decision tree are discussed, including id3, which uses information gain to select a splitting attribute when partitioning a training set ; c4. 5, which can deal with numeric attributes ; cart, which uses gini rule in attribute selection and induces a binary tree ; public, which puts tree pruning in the tree building phase ; interactive method, which puts artificial intelligence and human - computer interaction into the procedure of decision tree induction ; as well as sliq and sprint which are scalable and can be easily parallelized. advantages and disadvantages of these algorithms are also presented

    文中詳細闡述了幾種極具代表性的決策樹演算法：包括使用信息熵原理分割樣本集的id3演算法；可以處理連續屬性和屬性值空缺樣本的c4 . 5演算法；依據gini系數尋找最佳分割並生成二叉決策樹的cart演算法；將樹剪枝融入到建樹過程中的public演算法；在決策樹生成過程中加入人工智慧和人為干預的基於人機交互的決策樹生成方法；以及突破主存容量限制，具有良好的伸縮性和并行性的sliq和sprint演算法。
  20. Two objects functions were deduced, which of the maximum likelihood method and the conventional bayes " method, with the application of principle of maximum entropy. under the information theory, more applications are provided to those back analysis methods

    論文應用最大熵原理推導了最大似然法和傳統貝葉斯法的準則函數，從信息論的角度為這兩種反演分析方法的發展開拓了更廣闊的應用空間。
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