- 更多网络例句与逼近函数相关的网络例句 [注：此内容来源于网络，仅供参考]
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In this paper we study the method of interpolation by radial basis functions in H~k(k ≥ 1) and give some error estimates. By means of such interpolation with a special kind of radial basis function, we construct a basis in H~k(k ≥ 1). Combined with the Galerkin method, this theory can be applied to solve boundary value problems for elliptic partial differential equations (such as the third boundary value problem for Poisson equation and the corresponding problem for the biharmonic equation), and some numerical experiments are also given.
本文从求解偏微分方程的角度出发，在被逼近函数u属于一般的Sobolev空间H~k(k≥1)的情形，引入了一种径向基函数插值方法，并建立了相应的误差估计；再利用这种插值性质，从一类特殊径向基函数出发构造Sobolev空间的一组基，针对Poisson方程第三类边值问题和重调和方程类似边值问题，为用无网格算法求解偏微分方程边值问题建立了相应的理论，并通过算例来验证了这一算法。
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The method based upon semi-infinite slopes is intended to approximate the prescribed transfer function. In order to minimize the error function, the least square method is adopted. The method of correction with term by term is used to avoid the divergent difficulties in iterative design.
本文提出以折线法来构造网络的逼近函数，并利用最小二乘法和逐项修正法相结合的办法来达到最优逼近，然后依据网络综合的理论，用RC网络的综合步骤来计算出实际元件值。
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Through the polynomial approximation to function, resulting in more than a Peano-type and Lagrange remainder of the Taylor formula, using elementary functions Maclaurin expansions to address the limits and the approximate evaluation of the problem.
通过多项式来逼近函数，从而得到带有佩亚诺型余项和拉格朗日余项的泰勒公式，利用初等函数的麦克劳林展开式来解决极限及近似求值的问题。
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In the network method, the neural network with powerful function of approximation is used to get the continuous approximate function of the discrete fringe pattern.
在测量过程中，利用神经网络强大的函数逼近能力，得到离散条纹图的连续逼近函数，从中解出物体的相位分布信息，获得物体的三维面形分布。
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Adopting Hermite polynomial in stead of Taylor expansion has greatly decreased the order of the high-order cross sensitivity.
利用埃 尔米特插值逼近函数代替泰勒展开式，使目标函数对几何参数高阶交叉灵敏度的阶数大为降低，减小了计算代价。
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Adopting Hermite polynomial in stead of Taylor expansionhas greatly decreased the order of the high-order cross sensitivity.
利用埃尔米特插值逼近函数代替泰勒展开式，使目标函数对几何参数高阶交叉灵敏度的阶数大为降低，减小了计算代价。
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In this paper,a rational approximation method of the norm of parametric speed is given,which is more effective than the polynomial approximation.
文章根据等距曲线逼近的关键在于对其参数速度模的逼近，提出了对参数速度模有理逼近的2种形式，在此基础上给出了平面Bézier曲线等距曲线的逼近函数和误差估计函数，并导出了保持法矢平移方向的代数方式的等距有理逼近算法。
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The purpose of this dissertation is to study a principle or method to describe and analyze the complex problems with high gradients arising from practical engineering. The main contents cover:1. The Bezier function was introduced to approximate high gradient functions, and a suitable coupled function was derived. Some detail numerical results show that the Bezier-based function is dominant over other combination function such as polynominal and trigonometric series, when to describe a high gradient function.
针对工程中大量存在的高梯度问题进行函数逼近的研究，引入Bezier函数对高梯度问题进行函数逼近，构成以Bezier函数为主的复合逼近函数，数值考证表明：与常规多项式插值函数的逼近及"幂／三角"复合函数的逼近相比，基于Bezier函数的逼近函数对高梯度问题的描述具有明显优势。
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In either case of g ∈ C^2 or gC^2, this paper proposes a convenient method for building a T-S fuzzy system and gives a loose sufficient condition of its approximation ability, when the fuzzy sets are uniformly distributed, continuous and normalized.
本文在逼近函数g∈C^2及gC^2两种情况下给出了一种当模糊集满足均匀性、连续性、正规性条件下T-S模糊系统的构造方法以及该T-S模糊系统逼近能力的充分条件。该构造性方法简单易行且其逼近能力充分条件的保守性低。
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In either case ofg∈C2 or gnot∈C2, this paper proposes a convenient method for building a T-S fuzzy system and gives a loose sufficient condition of its approximation ability, when the fuzzy sets are uniformly distributed, continuous and normalized.
本文在逼近函数g∈C2及g不∈C2两种情况下给出了一种当模糊集满足均匀性、连续性、正规性条件下T-S模糊系统的构造方法以及该T-S模糊系统逼近能力的充分条件。
- 更多网络解释与逼近函数相关的网络解释 [注：此内容来源于网络，仅供参考]
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Algebraic function approximation：代数函数逼近
模糊函数逼近:Fuzzy function approximation | 代数函数逼近:Algebraic function approximation | 近似价值函数:Approximation Value Function
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approximation function：逼近函数
approximation error 近似误差 | approximation function 逼近函数 | approximation in excess 过剩逼近
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linear approximation function：线性逼近函数
分段线性逼近:piecewise linear approximation | 线性逼近函数:linear approximation function | 一次近似系统:linear approximation system
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approximation in excess：过剩逼近
approximation function 逼近函数 | approximation in excess 过剩逼近 | approximation method 近似法
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degree of approximation：逼近阶
逼近函数|approximating function | 逼近阶|degree of approximation | 逼近论|approximation theory
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piecewise linear approximation：分段线性逼近
线性逼近:linear approximation | 分段线性逼近:piecewise linear approximation | 线性逼近函数:linear approximation function
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Multivariate Monotone Function Approximation：多元单调函数逼近
非线性函数:non-linear function | 多元单调函数逼近:Multivariate Monotone Function Approximation | 多元通用函数逼近:Multivariate General Function Approximation
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approximated function：被逼近函数
备择假设||alternative hypothesis | 被逼近函数||approximated function | 被乘数||multiplicand
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approximating function：逼近函数
逼近||approximation | 逼近函数||approximating function | 逼近阶||degree of approximation
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Legendre：用勒让德多项式逼近已知函数
Chebyshev用切比雪夫多项式逼近已知函数 | Legendre用勒让德多项式逼近已知函数 | Pade用帕德形式的有理分式逼近已知函数