常见的方法有多项式逼近，切比雪夫多项式逼近。
The general methods are polynomial approximation and Chebyshev approximation.
本文介绍了由切比雪夫多项式逼近的标准电阻温度公式。
This paper describes the approximate resistance-temperature formula of standard resistors by Tchebysheff polynomial.
本文利用多项式逼近方法获得了频率和幅值修正的计算公式。
The polynomial approximation method is also employed to obtain simple formulas for frequency and amplitude correction.
本文研究用正交多项式逼近非线性趋势，然后对残差进行单位根检验的方法。
Orthogonal polynomial approximation is proposed to estimate the nonlinear deterministic trend and then the residual is used to test the unit root.
该文详细介绍了采用线性化法和多项式逼近法求解非线性波浪力谱密度的过程。
The calculation of the spectral density of non-linear wave forces is presented in detail, based on linearized approach and polynomial-approximated approach, respectively.
以最佳多项式逼近为度量，用构造性方法估计单隐层神经网络逼近连续函数的速度。
With the best polynomial approximation as a metric, the rate of approximation of the neural networks with single hidden layer to a continuous function is estimated by using a constructive approach.
然后各子图内像素灰度值以低阶多项式表示，依最小二乘准则以多项式逼近原图像的子图像。
Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.
数值模拟结果与数值解比较表明：正交多项式逼近法能有效地解决此类非线性随机动力系统的响应问题。
Numerical simulation implies that the proposed method is a new effective approach to dynamical responses of stochastic nonlinear systems.
本文分析了梯度辨识算法跟踪时变系统的缺点，提出了一种新的基于局部多项式逼近的变参数梯度估计算法。
The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.
这是正常的，因为从微积分可以知道，任一函数都可以用分段多项式来逼近。
This is normal, and the arbitrary function all can approach with dividing section multinomials because can know from infinitesimal calculus.
采用一族能较好地逼近弯剪型变形曲线的正交多项式作基函数来描述位移沿竖向变化。
The orthogonal polynomials approximated to shear-moment deformation curves were employed as the basic function to describe the displacement variation along the vertical.
这一结果可以与细分技术相结合，得到有理曲面的分片区间多项式的逼近。
This result can be combined with subdivision method to obtain a piecewise interval polynomial approximation for a rational surface.
本文采用数值逼近的方法，逐段用多项式表示偶极—偶极排列的瞬变电场。
By use of numerical approximation method, the paper USES the polynomial to approach segmentally the transient electric field from dipole dipole array.
应用第一多项式系列的线性组合构成的某连续函数的最佳逼近函数，具有一致逼近的性质。
The optimal approximation functions, of a continuous function which are constituted of the linear combination of series of Chebychev polynome have the characteristics of uniform approximation.
本文介绍用切比雪夫逼近多项式分析非线性电路的方法以及用计算机实现的例子。
In this paper, the author presents a method of Chebyshev approximate polynomial for analysing nonlinear circuit as well as an example of its computer realization.
利用光滑模和K -泛函给出了一类多元三角多项式算子同时逼近的正逆定理。
Using the modulus of smoothness and K-functional, direct and inverse theorems of simultaneous approximation for a kind of multivariate trigonometric polynomial operators are established.
本文基于切比雪夫正交多项式数值逼近方法，提出预测智能控制算法。
The predictive intelligent control scheme is proposed, which is based on approximation theory and numerical method of Chcbyshev orthogonal polynomial.
通过与线性插值、多项式拟合法和神经网络逼近法的比较，可以明显看出用该神经网络算法的优越性。
Compared with linear inserting value and multinomial imitation method, it is obvious that NN has more advantages.
着重介绍了数值逼近方法中的多项式曲面函数模型逼近法，并通过实测数据对多项式函数模型的精度进行分析。
The paper emphasizes on the methods of polynomial surface approximation which is part of numerical approximations, and analyzes the precision of polynomial function model through the measured data.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
利用正交特征分布多项式，逼近梁的位移函数。
Thus the authors use distributed polynomial with orthogonal characteristic for approximating displacement function of the beam;
该方法以有限个理论计算数据为样本，采用多项式函数离线进行回归，在保证高的逼近精度的前提下，以显著提高在线计算速度为目的。
The presented method is more accurate for using polynomial regression of theoretical calculated data as sample off-line and is quicker for the reason of its fixed polynomial pattern on-line.
基于光滑的分段多项式函数和插值思想推导出一个新的光滑函数，从而可以更好地逼近正号函数。
We got a new smooth function for approximating the plus function by interpolation base on smooth piecewise polynomial functions.
采用埃尔米特插值多项式代替泰勒展开式逼近目标函数，极大地降低了高阶交叉灵敏度的阶数。
Adopting the Hermite polynomial instead of the Taylor polynomial can greatly decrease the order of high-order cross sensitivity.
了解多项式的逼近程度和有效拟合区间随多项式的阶数有何变化。-1。
Understand the degree of polynomial approximation and the effective range with the polynomial fitting order of any changes.
了解多项式的逼近程度和有效拟合区间随多项式的阶数有何变化。-1。
Understand the degree of polynomial approximation and the effective range with the polynomial fitting order of any changes.
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