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逼近函数的英文

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"逼近函数"怎么读用"逼近函数"造句

英文翻译手机手机版

  • approximate function
  • approximating function
  • approximation function

例句与用法

  • Rational curves and rational surfaces , which are a class of important approximation functions , are extensive applied in cad / cam
    有理曲线和曲面作为一类重要的逼近函数,在计算机辅助设计与制造中有着广泛的应用。
  • This paper approximates non - linear function with wavelet neural network , whose ability of approximation function is discussed in theory
    本文将小波神经网络用于逼近非线性函数,并从理论上讨论了它逼近函数的能力。
  • By constructing approximate functions and using prior estimate and conversion of variable , it is proved that the inverse problem has weak solution for given initial value , boundary value and the oil output
    通过变量和函数变换,作逼近函数和估计等方法,证明了对给定的初边值和石油产量,此反问题存在弱解。
  • To choose wavelet function based on time - frequency region is put forward , time - frequency region composing of all of these wavelet functions can overlay wholly time - frequency region of non - linear function to approximate
    本文提出了根据逼近函数的时频空间区域来选择小波基函数,使这些小波基函数共同构成的时频空间区域覆盖完逼近函数的时频空间区域。
  • Because the choice of fuzzy set functions affects how well a fuzzy system approximates a function and gaussian bell - curve sets give richer fuzzy systems with simple learning laws , we choose gaussian function set as fuzzy set functions
    因为隶属函数的选取会影响模糊系统逼近函数的效果,而高斯型隶属函数的钟形曲线只要简单的学习规则就可以表示丰富的模糊信息,我们选取高斯型隶属函数作为模糊集合函数。
  • We construct a superapproximation function un and have proved that at the nodes the c ? finite element solution uh for the equation has following optimal order superconvergence results we also have proved that at some characteristic points in the elements , both uh and uh have superconvergence results
    我们构造了一个超逼近函数u _ n ,证明了在节点处c ~ 0有限元解u _ h有如下超收敛估计并且已证明了在单元内部的一些特征点上u _ n , u _ h有超收敛结果。
  • Bernstein approximation is one kind of classics and abundant research subjects in the theory of approximations , which mainly makes use of good properties and graceful structures of bernstein polynomials to discuss a great deal of relations between bernstein operators and the functions approached by it
    Bernstein逼近是逼近论中一类经典而丰富的研究课题,它主要是利用bernstein多项式的良好性质和优美结构来讨论其与所逼近函数之间的诸多关系。
  • In this paper , systemic theoretic analysis of the relationship of stock structure and operating performance is progressed , based on this , theoretic study and demonstration analysis organic fall together , and the neural networks model that can reflect their relationship total and systemic is established . the input variable of the model can reflect the panorama of stock structure , also , it can embodiment other influence factor of company performance . the evaluation target system that can reflect the operating condition of listed companies completely , impersonality and truly is advanced , at the same time , the best result weights confirm method is brought forward , thereby , the fuzzy integrate evaluations method is improved
    本文对股权结构与经营绩效之间的关系作了系统的理论分析,并在此基础上,将理论研究和实证分析有机地结合起来,建立了一个能全面、系统地反映它们之间关系的神经网络模型:该模型的输入变量在反映股权结构全貌的同时又体现了公司绩效的其它影响因素;提出了可以全面、客观、真实地反映上市公司经营状况的评价指标体系,同时提出了最佳结果权重确定法,从而改进了模糊综合评价方法,并利用改进的模糊综合评价法求出公司经营绩效的综合量化值作为神经网络的期望输出;改进了神经网络模型的算法,使其在样本数据相对较少的条件下也能很好地在性态上模拟被逼近函数
  • Finally , take example for a non - linear function , method mentioned in this paper is used to design wavelet neural network to approximate this function . the computer simulations confirm the method that is brought out in this paper is useful , and prove that wavelet neural network has not only fast convergence and better precision of approximation , but also good capability of forecasting and escaping error
    最后,对于一个实际的非线性函数,用本文介绍的方法来设计小波神经网络来逼近函数,仿真结果表明该方法的有效性,并且表明小波神经网络在函数逼近上,网络的收敛速度快,逼近精度高的特点,并且网络具有很好的泛化能力和容错性。
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