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successive approximation相关的网络例句

查询词典 successive approximation

与 successive approximation 相关的网络例句 [注:此内容来源于网络,仅供参考]

By the best approximation theory, it is first proved that the SISO (single-input single-output) linear Takagi-Sugeno fuzzy systems can approximate an arbitrary polynomial which, according to Weierstrass approximation theorem, can uniformly approximate any continuous functions on the compact domain.

借助于最优逼近理论,证明了线性SISO TS模糊系统可以逼近任意一个多项式,然后以Weierstrass逼近定理为桥梁,证明了该模糊系统可以以任意精度逼近一个任意的连续函数,从而得到了该模糊系统万能逼近性的一个新的充分条件。

Finaly, we introduce the Bernstein-Kantorovich quasi interpolant and study the approximation equivalent theorem with pointwise modulus (o≤λ≤1 ) in space L[0,1] and approximation equivalent theorem with Ditzian-Totik modulusin space L_[0,1](1 ≤p ≤ω).

最后,引入Bernstein-Kantorovich拟中插式,利用点态光滑模ω_~(2r)(0≤λ≤1)讨论了其在L_∞[0,1]空间的逼近等价定理和其在L_p[0,1](1≤p≤∞)空间关于模ω_ψ~(2r)的逼近等价定理。

In this paper we use pointwise modulus of smoothness to study approximation direct theorem and equivalent theorem for some linear operators and quasi-interpolant operators; Using pointwise modulus we discuss the strong converse inequality on K-functional; and using a modified weighted K-functional and weighted modulus of smoothness we study approximation with Jacobi weight on operator with non-zero first order moments.

本文利用点态光滑模ω_~(2r)来研究某些线性算子及逆中插式逼近正定理和等价定理;利用点态光滑模讨论其关于K-泛函的强逆不等式;同时利用一种改变的带权K-泛函和带权光滑模研究一阶矩不为零的算子的点态带Jacobi权逼近。

In approximation theory,the approximation of non-smooth function |x| is a very classical problem.

在逼近论中,非光滑函数|x|的逼近问题是一个非常经典的问题。

The study of direct and inverse theorems on the approximation of linear operators to functions in normed linear spaces is an important subject in the approximation theory. It is significant in theory and application.

线性算子对赋范线性空间中函数逼近正逆定理的研究是逼近论中重要的研究课题之一,在理论和实际应用上都具有重要的意义。

Several strong results on neural network approximation capability obtained in this dissertation are important in the approximation theory and applications of neural networks.

本文系统地研究了多层神经网络的非线性逼近能力,给出了多层网络可一致逼近有限维空间R〓紧集上的连续函数、无穷维函数空间紧集上的连续泛函和连续算子以及布尔函数的理论证明。

In theory of approximations, the classic methods of polynomial approximation for rational expression are various interpolations and operator approximations, such as Lagrange interpolation, Hermite interpolation and Bernstein polynomial approximation.

在逼近论中,用多项式逼近有理式的经典的方法是各种插值与算子逼近方法,如Lagrange插值、Hermite插值和Bernstein多项式逼近等。

In this thesis, several optimization design problem in mechanical engineering are solved based on the best uniform approximation theory, and some initial work in the basic theory of the best uniform approximation is done.

本文应用最佳一致逼近理论,解决了机械工程中一些优化设计问题,并在最佳一致逼近问题的基础理论方面做了一些开创性的工作。

Function approximation; best uniform approximation polynomial; deviation point; FPGA

函数逼近;最佳一致逼近多项式;交错点;FPGA实现

The method based on the frequency sampling is taken from the interpolation theory. The method based on the Chebyshev best uniform approximation theory can control the precision of approximation by limiting parameters.

频率采样脉冲波形设计法源于数值逼近理论插值法,所得脉冲波形有确定解析式;Chebyshev最佳一致逼近脉冲波形设计法属于均匀一致逼近,逼近程度能够利用参数进行限定。

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