未知誤差 的英文怎麼說

中文拼音 [wèizhīwùchā]
未知誤差 英文
unknown error
  • 未 : Ⅰ副詞1 （沒） did not; have not 2 （不） not Ⅱ名詞1 （地支的第八位） the eighth of the twelve ear...
  • 知 : Ⅰ動詞1 （知道） know; realize; be aware of 2 （使知道） inform; notify; tell 3 （舊指主管） admin...
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 未知 : unknown
  • 誤差 : error
  1. According to the geometry of slope measurements for the subjective wavefront optometer, a wavefont reconstruction model using zernike polynomial with normalization factor is put forward. based on householder transformation and gram - schmidt orthogonalization method, two methods for working out unknown zernike coefficients are bring forward. the error propagation parameter for the wavefront reconstruction model is deduced

    深入研究了帶標準化因子的zernike多項式的性質;針對主觀式像差儀波前斜率采樣方案，提出了採用帶標準化因子的zernike多項式對眼測試波前進行重建的數學模型;提出了兩種求解方法，即基於householder變換求解法和基於gram - schmidt正交化求解法，用於確定重建模型中的未知模式系數;推導出了該波前重建模型對斜率測量誤差的傳遞系數。
  2. In chapter two, we consider full disceret scheme of mixed finite element methods for the following initial - value problems of linear integro - differential equations of parabolic in this chapter, we give the error analysis of this full discrete scheme and get optimal error estimates for the discrete solutions of u and p

    第二章討論下述線性拋物型積分微分方程初邊值問題混合有限元方法的后差全離散格式。給出了該全離散格式的誤差分析，得到了離散解逼近未知函數u以及伴隨速度p的關于空間和時間的最優階誤差估計。
  3. The new ways that solve multiple objectives decision making under risk into probability permanent type : decision making diagram method, matrix analysis method, multiple objectives markov method, the shortest distance method, successive type variation multiple objectives decision making under risk method and fuzzy analysis decision making method. 3. the new modes that solve multiple objectives decision making under risk into probability interval type and uncharted type : weighted method and sorting method 4 the new repent average value criterion that handle multiple objectives decision making under risk into probability uncharted type and generalizing the criterions that have been used into one objective decision making under probability into uncharted type to multiple objectives decision making under probability into uncharted type. 5. giving the error analyses method and decision result regulating method that been used into multiple objectives decision making under risk

    2 、探討了『決策圖法』 、 『矩陣法』 、 『多目標馬爾科夫法』 、 『最小距離法』 、 『連續型變量的多目標風險型決策法』和『模糊分析決策法』等解決概率固定型的多目標風險型決策的新方法。 3 、探討了『加權法』 、 『排序法』兩種解決概率區間型和未知型的多目標風險型決策的方法； 4 、在概率未知型的多目標風險型決策中改進了『後悔值準則』 ，提出了『後悔均值準則』 ；並將單目標概率未知型風險型決策的準則推廣運用到多目標概率未知型的風險型決策中去； 5 、探討了多目標風險型決策方法誤差分析及決策結果值調整的方法。
  4. This paper also points out the consistency that can be generalized more than one dimension. so, we achieve the large sample property - consistency of this class of model on the fixed design. in this paper, for fixed design points xi ; under the assumption that the unknown function g is continuous function and the moment of random error exists and is finity, we discuss and show that the estimators n, gn and n2 for, g and 2 have strong consistency, p th - mean consistency for more general nonparametric weighted fuction

    本論文在x ；是固定設計的情況下，假定未知函數9 （ ? ）連續，對非參數權函數的條件更為一般和基本，並對隨機誤差e ；的矩的要求有限，討論並證明了在這些條件下， p ； g （ ? ）的估計量札lin （ ? ）及誤差方差a 』的估計量枯相合性和叭三2 ）階平均相合性
  5. Unlike the normal two stages estimate method ( the usual nonparametric weighted method combined with the least square estimate ), considering the characteristics of this model, this paper uses the least square estimate combining with the usual nonparametric weighted method and defines the estimators and n2 for the unknown parameter, the unkown fuction g ( ) and the unknown variance of errors 2

    與通常採用的兩階段估計方法即非參數權函數法結合最小二乘法不同，考慮到此模型本身的特性，本文採用最小二乘法結合一般非參數權函數估計方法，定義了未知待估參數和未知函數g （ ? ）及誤差方差~ 2的估計量（ ? ） _ n ， （ ? ） _ n （ ? ）和（
  6. In the process, we import the displacement method " s concept of replacement ahead, that is to say, we replace the unknown vectors with new unknown vectors to prevent the delivering and accumulation of errors. at the same time, we completed the skew bridge calculation procedure, and compared the calculation results with the results by the finite element software ansys, it proved the correctness and practicality of this procedure

    在矩陣傳遞的過程中引入位移法中的前進代入的概念，即將未知向量不斷的以新的未知向量替換，以防止誤差的傳遞和積累。本文完成了斜交格子梁橋的內力計算程序，並將計算結果與採用有限元分析軟體ansys分析計算的結果進行了比較，驗證了程序的正確性和實用性。
  7. It consists of an indirect adaptive fuzzy controller, which is constructed by modeling the unknown part of system, and adaptive law given by using lyapunov synthesis approach

    該方法利用模糊邏輯系統來逼近未知非線性部分。在把逼近誤差看作系統干擾的情況下，給出了模糊系統參數基於lyapunov穩定的基礎上的自適應律。
  8. Firstly, based on backstepping and the supervisory control strategy, a robust adaptive fuzzy controller is designed for a class of nonlinear systems. the first type fuzzy logic system is used to approximate the unknown part of the process. the adaptive compensation term of the optimal approximation error is adopted

    本文首先針對一類不確定非線性系統，基於backstepping方法，利用監督控制，引入最優逼近誤差的自適應補償項，並利用型模糊邏輯系統逼近系統的未知部分，提出了一種魯棒自適應模糊控制器設計方案，運用李亞普諾夫第二方法，先證明了閉環模糊控制系統全狀態有界，再證明了跟蹤誤差收斂到零。
  9. The interesting thing is that the bound is precise without any unknown constants, which is very important for statistical inference

    值得提出的是，在這個誤差界中，沒有任何的未知參數，這是對統計推斷是很重要的
  10. The method is firstly applied to solve the linear convection - dominated diffusion problems and the optimal l2 - error estimates of the unknown function c and the vector flux p are gained

    此方法首先被用於求解線性對流擴散問題，得到了關于未知函數c及伴隨函數p的最優l ~ 2誤差估計。
  11. Expanded mixed finite element approximations of the parabolic problems are considered. error estimates for the scalar unknwon, its gradient and its flux in l2 - norm are obtained for this new mixed formulation

    通過數值分析進一步說明擴展混合元方法是穩定的，並得到了未知函數、未知函數的梯度和流體流量的l ~ 2 -誤差估計。
  12. Based on this fomulation, expanded mixed finite element approximations of the hyperbolic problems are considered. optimal order error estimates for the scalar unknwon, its gradient and its flux in l2 - norms are obtained for this new mixed formulation

    給出了逼近未知函數、未知函數梯度和流體流量的最優l ~ 2模誤差估計以及擬最優的最大模誤差估計。
  13. One of the important prerequisites for nn to approximate the nonlinear function f ( x ) is the states x of the system should be in a compact set. therefore, the unkown unlinear systems can be expressed by nn and a model error e ( x ), and there exists a positive constant 6 such that e ( x ) < 8. so the problem can be incorporated into robust adaptive control

    神經網路可以逼近非線性函數f （ x ）的一個重要前提是x必須落入某一緊集s中，因此在一緊集u上，未知的非線性系統就可以用神經網路及一建模誤差項（ x ）表示出來，且存在一正的常數，使得（ x ） ，從而這一問題可以歸結到魯棒自適應控制中。
  14. This paper consists of two parts : in the first part, we will discuss the prob - lem of the pth - mean, complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part, we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency. to the nonparametric model y _ ni = g ( x _ ni ) + _ ni, 1 i n, let g _ n ( x ) = w _ ni ( x, w _ n1, … ? xnn ) y _ ni estimate the unknown function g ( x ). to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q, we use lse _ nj to estimate the unknown parametric _ j

    本篇論文主要是由兩大部分內容構成：一是關于誤差是l ~ p ?混合序列的線性回歸模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的p ~ -階平均相合性和完全收斂性問題；另一部分是關于誤差是弱平穩線性過程的線性模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的r ?階平均相合性和完全收斂性以及權函數估計的一致平均相合性問題。
  15. On stability and error estimaes for a class of weighted semi - implicit schemes of the incremental unknowns methods

    一類加權半隱格式增量未知元方法的穩定性和誤差估計
  16. Several groups of sand with unknown water content are measured. contrasting with the simulated curves " formulas, the errors " range are offered

    測量了幾組未知水分含量的沙子，與曲線擬合公式進行對照，給出了誤差范圍。
  17. The strategy can reject the deviations from the model mismatch and the disturbances that repeat themselves in the subsequent batches

    本文提出的方法可以有效地消除由於模型誤差和未知擾動引起的質量偏差。
  18. So the disturbance observer and adaptive control based on neural network are devoted to solve this problem. the principle of disturbance observer is to take all unknown disturbances like modeling error as systematic disturbance to approach, then use the output to compensate the systematic inversion error

    干擾觀測器的原理就是採用非線性干擾觀測器將外部干擾、非線性系統內部的求逆誤差和建模誤差等一系列未知誤差統一看成系統的干擾進行逼近，在通過系統輸出對逆誤差進行補償。
  19. In chapter one, we propose a new mixed method called characteristics mixed finite element method for a convection - dominated diffusion problems with small parameter e : we handle the convection part whth backward difference scheme along the characteristics, obtain much smaller time - trunction errors and avoid numerical dispersion on the front of the peak curve of the flow : we use a lowest order mixed finite element method to deal with the diffusion part, so this scheme can approximate the unknow function and its following vector with high accuracy at the same time

    第一章中我們對小參數對流占優擴散問題提出了新的數值方法? ?特徵混合有限元方法，即對方程的對流部分採用沿特徵線的後退差分格式求解，以保證較小的截斷誤差限並避免了在流動的鋒線前沿數值彌散現象的出現；對流動的擴散部分採用最低次混合元方法求解，以保證格式對未知函數及伴隨向量的同時高精度逼近。由於該方法中檢驗函數可取分片常數，此格式在某種意義上具有局部守恆性質。
  20. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
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