unknown function 中文意思是什麼
unknown function
解釋
未知函數-
Using the approximate ability to nonlinear function of neural networks, the adaptive frame of identification and controller are constructed. and the formula of jacobin matrix for unknown systems is given, which is used to train the neural networks controller in closed systems
總結了bp神經網路的基本理論，把基於非線性數值優化技術的leven - marquardt方法用於bp網路辨識器和控制器的訓練，模擬結果表明該演算法性能遠遠優于標準bp類演算法。 -
The function of the thymus was unknown until relatively recently.
直到不久以前，人們對胸腺的功能尚不明了。 -
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 -
Radial basis function network constructs many basis functions, according to the distances between the unknown style and the known styles, to generate the function value of the unknown style
徑向基函數網路利用未知樣本與已知樣本間的距離構建多個基函數得出未知樣本處的函數值。 -
Gnt - v has been purified and cloned, but many unknown questions about its function remain to be resolved
本實驗室對gnt - v的研究已有多年，但我們發現gnt - v的功能尚有很多問題未解決。 -
The teaching of green function method is from known to unknown and from plain to profound, which alleviates difficulty of student ' s studying and mastering green function method and depresses the step of learning green function method
這樣從已知到未知，由淺入深，層層展開，可以減輕學生學習與掌握green函數方法的困難，降低了學習green函數方法的層次。 -
Dna fragments containing rst - 0x1 and rst - 0x2 as well as their promoters were abtained by pcr. the results of sequencing and blast analysis suggested these fragments shares 99 % identity with sinorhizobium meliloti 1021. function of rst - oxl was unknown, while rst - 0x2 shares 81 % identity with gshb gene of rhizobium tropici, which encoding glutathione synthetase
序列測定和blast分析表明，它們和苜蓿中華根瘤菌1021的相應基因有99同源性， 042bm的rst - 0x1基因功能未知，而rst - 0x2基因和熱帶根瘤菌谷胱甘肽合成酶基因gshb有81同源性。 -
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。 -
Based on the fundamental solution of two perfectly bonded elastic halfspaces, and using the boundary integral equation method and the finite - part integral concepts, the problem is reduced to a hypersingular integral equation in which the unknown function is the crack opening displacement discontinuity
首先根據雙材料空間的彈性力學基本解，使用邊界積分方程方法，在有限部積分的意義下導出了以裂紋面位移間斷為未知函數的超奇異積分方程。 -
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。 -
In the numerical calculation, the unknown function is approximated by the product of basic density function and polynomials
根據裂紋面上位移函數的分佈特性，通過將位移間斷函數表示為特徵函數和一組多項式乘積的形式，為其建立了數值方法。 -
So many statistics scholars have studied it extensively and obtained many ideal results. semiparametric regression model yi ~ ( n ) = xi ~ ( n ) + g ( t ~ n _ i ) + _ i ~ ( n ), 1 i n, where g is an unknown function on a compact set a in r ~ p and is an unknown parameter, ( x _ 1 ~ ( n ), x _ 1 ~ ( n ) ) ~ t, ? ? x _ n ~ ( n ), t _ n ~ ( n ) ) ~ t are fixed design vectors and the radom er - rors _ i ~ ( n ) are assumed to be an l ~ q - mixingale sequences. fan [ 1 ] investigated nonparametric regression model
由於半參數回歸模型的優點是集中了主要部分（即參數分量部分）的信息，因而它比傳統的線性模型或非參數回歸模型有更強的解釋能力，不少統計學者對其進行了深入的研究，同其它回歸模型一樣，它的大樣本性質始終是人們關注的熱點。 -
The basic idea of the estimate method is, firstly, based on the linear model yi = x ' i + ei, defining the least square estimator n of the linear model for the unkown parametric ; secondly, using the estimator n we " ve got to substitute for in the original semiparametric regression model yi = x ' i + g ( xi ) + ei and using the usual nonparametric weighted function method to define the estimator gn ( - ) for the unknown function g ( ) ; finally, defining the estimator 2 for the unknown variance of errors 2
其估計方法的基本思路是先基於線性模型y _ i = x _ i + e _ i ，定義未知待估參數的估計即此線性模型的最小二乘估計（ ? ） _ n ；然後將所得估計（ ? ） _ n代入原半參數回歸模型中，用一般的非參數權函數方法定義未知函數g （ ? ）的估計（ -
As we know, many results on analytic solutions of iterative equations are obtained by constructing a majorant series. for technical reasons, in previous works an indeterminate constant a, as the eigenvalue of the linearization of unknown function at its fixed point, is required to be off the unit circle or lie on the circle with the diophantine condition
已有的許多關于迭代方程的解析解結果都是運用優級數法得到的，並要求一個作為未知函數在其不動點處的線性部分的特徵值的常數不在單位圓周上或者在單位圓周上但滿足diophantine條件。 -
Thus, it was evident that, as in embryonic mice, the proteins play a crucial role in the maintenance of cells in the region, and revealed a previously unknown function for them in assuring ependymal layer integrity
因此，它證實了，在胚胎小鼠，該蛋白在維持這個區域的細胞扮演著重要的角色，同時揭露了先前無人知曉的確保室管膜層完整性的功能。 -
Lbie, based on the local boundary equation, adopts the traditional moving least squares ( mls ) approximation which depends on only the values of the nodes in the domain of the problem or along its boundary. the whole process of integration is carried on over a local domain or its local boundary centered at the node in question. the local boundary equation can be rewritten to represent the values of the unknown function at the point of interest, and the essential boundary conditions can be directly and easily enforced by using the green formula and the characters of the dirac function
它以局部邊界積分方程為基礎，採用移動最小二乘近似函數，從而只需要分佈在問題域內及其邊界上的節點的信息值，無需劃分單元；整個積分是在以節點為中心的局部域及其邊界上實現，所以不需要背景積分網格；藉助于格林公式及dirac函數的性質，將局部邊界積分方程轉化為所考慮點的未知函數的邊界積分表達式，便於直接施加本質邊界條件。 -
The self - incompatibility is involved in a signal transduction process resulted from the interaction between ligand and receptor. up to now, some achievements for ligand and receptor have already been made, but the research progress on downstream protein factors is slower than that of upstream components, highlighting the downstream proteins in priority of research. some downstream components have not been isolated, which are similar to the unknown function of those isolated ones
自交不親和反應是一種配體和受體相互識別的信號傳導過程，在這一過程中，對配體和受體的研究已經取得突破性成果，而對下游的磷酸化蛋白研究相對上游受體來說要緩慢得多，所以對信號傳導的下游組分研究顯得尤為重要，特?是下游還有許多未分離到的組分，而分離到的組分其功能還不清楚。 -
The theory of time scales was introduced by stefan hilger in his phd thesis ( [ 1 ] ) in 1988 ( supervised by bernd aulbach ), it has been created in order to unify continuous and discrete analysis. hilger found many results concerning differential equations had carried over quite easily to corresponding results for difference equations. then he defined the dynamic equation on time scales, i. e. the domain of the unknown function of the dynamic equations is a time scale
時間模（ timescales ）最早是由德國w rzburg大學的hilgerstefan在1988年提出的，當時他在導師berndaulbach的指導下完成博士論文（ [ 1 ] ） ，其主要思想就是把連續分析與離散分析統一起來，他發現人們對微分方程研究后往往又對相應的差分方程進行研究，而一般情況下兩者又可得到相平行的結論，於是定義了時間模上的動力學方程，即方程的未知函數的定義域是一個時間模。 -
Several of these genes encode extracellular matrix proteins, but most are of unknown function
這些基因中的幾個編碼細胞外基質蛋白，大部分功能不清。 -
Simulation results obtained using both artificial and real data show that the estimation performance of the proposed method is a good approximation of the unknown function and the computation complexity is significantly reduced
最後對人工和實際的樣本進行了試驗，結果說明了線性規劃支持向量回歸能較好地逼近被估計函數，且計算復雜度明顯降低。
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