隱含函數 的英文怎麼說

中文拼音 [yǐnhánhánshǔ]
隱含函數 英文
implicit function
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 含 : 動詞1 （東西放在嘴裏 不咽下也不吐出） keep in the mouth 2 （藏在裏面; 包含） contain 3 （帶有某種...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 隱含 : implication
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  2. Supposing the company ' s value satisfies a certain probability distribution, then, we can calculate the company ' s value in the future as well as its connotative undulation basing on the relationship and a certain option pricing formula, which is based on the supposing talked above. further, we can calculate the company ' s expected default frequency. by now, the goal to measuring the company ' s credit risk has realized

    如果假設公司價值波動服從某一概率分佈，那麼根據與此概率分佈相對應的期權定價公式，以及股票價格波動率與公司資產價值波動率之間的函數關系，即可求出公司未來某個時點的期望價值及其隱含波動率，並進一步計算出此時點公司違約的概率，由此便實現了對公司信用評級的目的。
  3. Because a template constructor is never a copy constructor, the presence of such a template does not suppress the implicit declaration of a copy constructor

    由於模板構造函數終究不是拷貝構造函數，因此這種模板的出現並不會隱藏原來隱含的拷貝構造函數之聲明。
  4. This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented

    Viterbi演算法以隱馬爾可夫理論為基礎，是一種最大后驗概率估計方法，本文對該演算法進行了研究，給出了一種適合於非高斯干擾條件下的濾波方法；多分辨分析方法充分利用到了多解析度測量數據所包含的信息，從模擬結果中可以看出，該方法的濾波精度要高於傳統的濾波演算法；自主濾波方法是一種遞推貝葉斯估計演算法，它利用采樣點來描述目標狀態的概率密度函數，因而適用於非線性、非高斯條件下的濾波，本文分別對這兩種情況下的濾波進行了模擬。
  5. In this di ssertation, segmentation, description and recognition of objects are studied systematically by the variogram function and implicit polynomial ( ip ) curve

    本文引進變差函數和隱含多項式曲線理論對景物圖像中的物體分割、描述和識別作了較為系統的研究。
  6. At the same time, according to the excellent capability of ip curves, we study fitting and description of objects, determination of invariants of objects, symmetry detection and recognition of objects based on ip curves. in all, the main contributions in the dissertation are as follows : ( 1 ) a method of determining automatically the scale of the multiscale edge detection is proposed based on the variant distance of the variogram function, and a method of segmenting texture images is also presented. the variograin values are taken as stochastic and structural properties of texture images and variant distance is taken as the size of image window

    同時，基於隱含多項式曲線良好的物體描述與識別能力，對物體邊界輪廓的擬合、描述、不變量特徵的提取、識別以及物體對稱性檢測作了系統的研究，主要成果及創新之處有： （ 1 ）基於變差函數的變程，提出了圖像多尺度邊緣檢測中尺度大小的自動確定方法；將變差函數的變差值作為紋理的統計和結構特徵，依據變程確定窗口大小，給出一種新的紋理圖像的分割方法。
  7. Implicit function arguments, loose syntax, and liberal program structures add to perl s charm

    隱含的函數聲明、不嚴格的語法、以及象日用文檔似的程序結構使得perl更具吸引力。
  8. Combining with the requirement of power enterprises " bidding in power market, in this thesis, several sorts of models for spot price forecast are proposed : based on historical price materials, from the point of time - serials analysis, models of fuzzy exponential flatness, linear remove and auto - regression, and mean generating function are constructed to probe the tendency and regulation hidden in price materials and to forecast spot price next day

    本文建立了以下實時邊際電價預測模型： （ 1 ）以歷史邊際電價資料為基礎，建立了模糊指數平滑、線性移動自回歸、基於均生函數的電價預測模型，通過探尋歷史邊際電價資料中隱含的邊際電價發展變化規律，對次日96點實時邊際電價進行預測。
  9. Users must be granted the view server state permission or any permission that implies the view server state permission to query this dynamic management function

    必須授予用戶view server state權限或任何隱含view server state權限的權限，以便查詢此動態管理函數。
  10. A structure variable implicitly includes an initialization of the elements using the structure s parameterless constructor

    結構變量使用結構的無參數構造函數隱式包含元素的初始化。
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