似然函數 的英文怎麼說

中文拼音 [sìránhánshǔ]
似然函數 英文
likelihood-funktion likelihood function
  • 然 : Ⅰ形容詞（對; 不錯） right; correct Ⅱ代詞（如此; 這樣; 那樣） so; like that Ⅲ連詞[書面語] （然而）...
  • 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
  • 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. The main contributions are as follows : ( 1 ) de ( differential evolution ) algorithm is proposed to invert the ocean acoustic parameters in shallow water in order to get faster and more accurate results than ga ( genetic algorithm ) and sa ( simulated annealing algorithm ). also a posteriori probability analysis method is applied to evaluate the uncertainty of inversion results. ( 2 ) maximum likelihood objective functions for broadband mfi are derived according to different conditions

    （ 2 ）根據不同的前提條件，採用似然比的方法推導了寬帶匹配場反演的最大似然目標函數；深入地研究了寬帶匹配場處理中的相干與非相干問題；在分析參數反演的敏感性之後，提出了淺海環境參數寬帶匹配場反演的多步優化策略，並與全參數反演方法進行了性能上的模擬比較。
  2. An expression on likelihood function of normal distribution ma sequence

    序列的似然函數的一種表示
  3. The parameter control methods are very similar to penalty function methods, both of them are to solve constrained optimization problems by solving a series of sub - unconstrained optimization problems. but parameter control methods are different from penalty function methods. firstly, the penalty coefficient of penalty function methods are preassigned, while the parameters of parameter control methodsare generated automatically according to some rule prescribed

    參數控制演算法雖然與罰函數法非常類似，都是通過求解一系列無約束極小化問題來逼近約束優化問題的最優解，但罰函數法中的罰因子是預先設定的，而參數控制演算法中的參數是自動產生的。
  4. First, the nonlinear ls problem without constraint is converted to that subjected to inequality constraints by putting constraints on the do as of the received signals and toas of the first arrived signal with geometrically based single - bounce ( gbsb ) statistical channel model and cost - 207 model. then, a penalty function is used in the estimation of ms position

    首先，用基於幾何結構的單次反射圓模型和cost - 207模型，對期望定位用戶的各條多徑信號的波達方向和最先到達多徑信號的時間進行約束，將傳統的解無約束的非線性最小二乘定位問題或近似線性最小二乘定位問題轉化為解不等式約束的非線性最小二乘定位問題；然後，用內點罰函數法估計移動臺的位置。
  5. This method utilizes the distribution property of image intensity. given the false alarm probability, the threshold for likelihood difference can be determined

    該方法利用sar圖像的強度分佈特性，根據虛警率確定相鄰區域之間存在邊界的似然差函數的閾值。
  6. Based on the data recorded of the highest water level in the three survey stations of huangpu river, we give out the parameters estimates by using the eight estimate procedures mentioned above respectively, then we calculated corresponding values of likelihood and goodness - of - fit. we reach the conclusion that maximum - likelihood method performs better and more stable than the others

    本文基於黃浦江三個水文觀測站的歷年最高水位資料，分別利用這八種估計方法，求出了參數估計值，然後分別計算似然函數值和擬合優度度量值w ~ 2 ，對這八種方法進行了比較分析。
  7. We can show the existence of solutions to the differential inclusions problem by baire category method, and so the formal problem. the main steps of using baire category method are as follows. first we construct a complete metric space v. then with the help of the likelihood functional, we obtain a series of open and dense subset vs in v. finally, by baire category theorem, we know that the subset vs is dense in v

    本文指出在適當的條件下，可以將原問題轉化為一個微分包含問題：對於此微分包含問題運用baire稠密性方法，構造一個完備的度量空間，也就是容許函數空間，再利用似然泛函構造出它的一列稠密開子集（實際上是逼近解集） ，從而由baire稠密性定理可以得到解的存在性。
  8. So the likelihood function of the differential phase peaks can be formed as means to identify m - ary psk

    於是可利用相位突變峰值的似然函數來識別信號為哪一種進制的psk信號。
  9. It is well known that the wavelet liner approximation ( i. e, truncating the high frequencies ) can be approximate smooth singals very efficiently. however, for example, piecewise continous signals with large jump in signal value or in its derivatives, standard wavelet linear approximation techniques cannot achieve similar results for signals which are not smooth. to overcome these problems within the standard wavelet transform framework, the paper proposed the double adaptive wavelet transforms

    眾所周知，小波的線性近似（只用低頻系數而不採用高頻系數進行重構的方法稱為線性近似）能非常有效的近似初始的光滑信號。然而對于非光滑信號，例如具有跳變點的分段連續信號，標準小波的線性近似就不能獲得如光滑函數那樣好的結果。
  10. An appropriate cost function is constructed which avoids the use of the logarithm likelihood function that is lack of robust to the noise correlation, moreover, our method have many advantages such as, low complexity, suitable for coherence signals, etc

    構造適當的代價函數，避免了對數似然函數的使用，該方法對色噪聲協方差矩陣特徵值分散具有穩健性，同時具有較低的計算復雜度和適用於相關甚至相干源等優點。
  11. We construct cost function which combines the likelihood function and boundary constraint function

    它利用似然函數和邊界約束方程構造代價函數，來描述區域特徵。
  12. By the help of matrix and difference equation, we give an expression of likelihood function of normal distribution ma ( 0, 1 ) sequence, which has important application in mordem control theory

    藉助矩陣和差分方程，具體給出了在實際中具有重要應用的一類數學模型? ?正態ma （ 0 ， 1 ）序列的似然函數的一種顯式表示，即具體表示成了模型參數的函數
  13. Taking attributed scattering center - based classification as example, the computation of feature likelihood function under many - many and 1 - 1 correspondence are studied, by using the algorithm of bipartite graph perfect matching to find the optimal 1 - 1 correspondence, the computation efficiency is improved greatly, the relations of likelihood function between 1 - 1 and many - many correspondence are analyzed, and two sub - optimal methods of calculating the likelihood function of 1 - 1 correspondence are presented

    本章以基於屬性散射中心特徵的分類為例，深入研究了多?多對應和1 ? 1對應特徵似然函數的計算，通過將求解二分圖最佳匹配的演算法用於尋找特徵之間的最優1 ? 1對應關系，有效提高了1 ? 1對應特徵似然函數的計算效率，分析了1 ? 1對應和多?多對應特徵似然函數之間的關系，給出了兩種次優的1 ? 1對應特徵似然函數計算方法。
  14. The effects are on the probabilistic assessment of both scattering regularity and sampling size of the test s - n data. p - s - n curves are characterized by the scale and location parameters related s - n relations for the maximum value model. the materials constants of in the scale relations are given by the average s - n relations and the locations

    曲線用極大值分佈的位置與尺度參量s - n關系曲線來表徵，尺度參量s - n關系曲線可表示成均值與位置s - n曲線的函數；均值曲線的材料常數應用最小二乘法求出，位置曲線參數通過極大值分佈的似然函數解出。
  15. The 3 - d exact maximum likelihood registration algorithm ( eml ) incorporates the effects of measurement noise. the registration estimates are obtained by the maximum likelihood function of the sensors measurement. the simulation results indicate that the estimates of registration errors have better consistency and stability

    三維精確極大似然法（ eml ）考慮了量測噪聲的影響，配準估計是通過求最大似然函數獲得的；模擬結果表明：配準誤差具有很好的穩定性和一致性。
  16. Dually we can also obtain the relationship among plausibility function, outer measure and upper probability

    似然函數與外測度及上概率之間的關系可對偶得到。
  17. How to use dempster - shafer ( d - s ) method to solve multi - sensor data fusion problems is analyzed in this paper. based on basic probability assignment of target type decided by multiple sensors, new sensor data are added continually, and believe function and plausibility function are update ; finally the destination of decision of target type is arrived

    應用證據理論（ d - s方法） ，解在多傳感器條件下的數據融合問題，具體方法是根據多個傳感器對目標類型判斷的基本概率分配函數，不斷添加新的傳感器數據，更新信任函數和似然函數，最終判斷目標類型。
  18. Computation the likelihood function requires using the correspondences between extracted and predicted features

    為了計算該似然函數，需要利用提取特徵矢量和預測特徵矢量之間的對應關系。
  19. The model - based sar target classifier that uses feature accomplishes classification by computing the likelihood function between extracted and predicted features

    利用特徵基於模型的sar目標分類方法，通過計算提取特徵矢量和預測特徵矢量之間的似然函數達到目標分類的目的。
  20. It follows from the general convergence theory that the em algorithm generally converge to a local maximum solution of the likelihood function and cannot be guaranteed to converge to a correct solution, i. e., a consistent solution of the samples

    Em演算法的一般收斂理論認為，演算法只能收斂到似然函數的一個局部極大解，無法保證能夠收斂到與樣本的真實參數相一致的解上。
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