approximated function

The function approximation ability comparison of two wavelet networks and their applications;

两种小波网络的函数逼近能力比较与应用

Function approximation capabilities of intuitionistic fuzzy reasoning neural networks;

直觉模糊神经网络的函数逼近能力

Function Approximation Study of General Fuzzy System;

模糊系统的函数逼近特性研究

And as the approximation of function for example,approximating the emulation of the different BP neural Netwlrk with the figure of primary function,it compares the performance of different BP neural network,Advantages.

并以函数逼近为例,通过对不同的BP神经网络仿真与原函数图像的拟合,比较不同的BP神经网络的性能,验证新型BP网络的优势,得出如何根据对象选取神经网络的结论。

This paper discusses differences and relations between Newton and Lagrange interpolation polynomial in approximation of function.

讨论了Newton及Lagrange插值多项式在函数逼近中的联系和区别。

This paper discusses differences and relations between Taylor Polynomial and Newton interpolation polynomial in approximation of function.

讨论 Taylor多项式与 Newton插值多项式在函数逼近中的区别和联系。

Firstly,the best uniform approximation function is constructed with Chebyshev interpolation method,then the function is analyzed by partial orthogonal decomposition to obtain related eignvalue and eignvalue vector.

首先,利用Chebyshev插值法建立非平稳信号的最佳一致逼近函数;然后,通过对该函数进行偏正交分解获取对应的特征值及特征向量。

A new method of analytic extension for the approximation function of firing tables out of the firing table s valid firing area was put forward.

在有效射界外,为火炮射表的逼近函数构造了一个解析延拓函数,它能为有效射程之外平稳光滑地引导火炮提供策略,而且可保证求解的第一个命中点在有效射界的边界上,为目标快速射击争取了最大的射击机会。

For nonlinear and nonstationary signal,the paper builds the best uniform approximation function with Chebyshev s interposing method,then the function is analyzed by orthogonal function to(obtain) relating eigenvalue and eigen vector.

利用Chebyshev插值法,建立非平稳信号的最佳一致逼近函数,通过对该函数进行偏正交分解获取对应的特征值及特征向量,该方法运用在滚动轴承故障特征提取应用中,取得了良好的效果。

Functional approximation development—neural networks;

函数逼近的发展——神经网络

The result shows better by the example of function approaching.

将二元蚁群算法和神经网络混合,可兼有神经网络广泛映射能力和二元蚁群算法快速全局收敛能力,通过在函数逼近实验表明取得了较好的结果。

rational function approximation

有理函数逼近[近似](式)

The Generalization of Kantorovich Operator and the Approach Problems of Functions;

Kantorovich算子推广与函数逼近问题

The Non-linear Function Approximation Based on Wavelet Neural Network;

基于小波神经网络的非线性函数逼近

Realization of Function Approximation on Matlab Based on BP Neural Network;

基于BP神经网络的函数逼近的MATLAB实现

The application of power function approaching speed in the ultimate operation

幂函数逼近速度在极限运算中的应用

On the Best Chebyshev Exponential Approximation;

函数的最佳Chebyshev指数逼近

Near Pseudo Modification of Smarandache Function;

逼近Smarandache函数的变形

Degree of Approximation of a Special Lagrange Polynomial Approxmating the Smooth Function;

一类特殊Lagrange多项式逼近光滑函数的逼近度

Approximation of the Fejér Sum of Chebyshev-fourier Series for the ω-type Monotomic Functions;

Chebyshev-Fourier级数Fejér和逼近ω-型单调函数

On Approximation of the Abel Sums for Bounded Variation Functions and ω-type Monotonic Functions;

Abel 和对有界变差函数及ω-型单调函数的逼近

Differentiability and Approximation of Convex Functions in Banach Spaces;

Banach空间中凸函数的微分理论和逼近

Approximation of Quasiconformal Mappings and Analytic Functions by Circle Packings;

拟共形映射与解析函数的圆填充逼近

Approximate Nikolskii and Sobolev Functions Using Linear Information;

用线性信息逼近Nikolskii与Sobolev函数

The Best Approximation from L～p Function to Hardy Space;

L～p函数到Hardy空间的最佳逼近

On the Lebesgue Function of Generalized Freud-Type Weights and Two Kinds of Interpolation Approximation;

加权Lagrange插值的Lebesgue函数和两类插值逼近

Totally Convex Functions and the Proximal Point Algorithm in Banach Spaces;

Banach空间的完全凸函数与逼近点算法

Realizing the Smallest Zoro Affect Approximation for Runge Function During the Course of Matlab;

在Matlab中对Runge函数实现最小零偏差逼近

Approximation Theorems of Continous Functions by the Iterated Boolean Sums of Kantorovich Operators;

用Kantorovich算子的迭代布尔和逼近连续函数