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.
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。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
The numerical example shows that increasing the item of radial basis function is not a right way to improve the accuracy of results, and more approximation functions should be employed in the DRBEM.
计算结果表明增加径向基函数的项数并不是改善结果的好办法，应该将更多的函数引入双互易边界元法中。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
The new method is based on combining perturbation method of eigen-problems with rational approximation of a vector-value function .
提出了一种新的结合特征灵敏度直接法和向量值函数有理逼近的结构动力重分析方法。
A method is proposed for the approximation and realization of the optimal transfer function of the receivers in full-response digital fiber-optic communication systems.
本文提出了全响应数字光纤通信接收机最佳传递函数的逼近和实现方法；
It used the moving least square approximation as a trial function, and used the weighted function of the moving least square approximation as a test function of the weighted residual method.
这种方法采用移动最小二乘函数来近似解变量，并且采用移动最小二乘近似函数的权函数作为加权残值法的权函数。
This paper introduced a three layer BP neural network, and realized the approximation of a continuous function.
构造一个三层BP神经网络，实现了连续函数的逼近。
Function approximation is one of the most important ability of ANN, a function object can be replaced by an ANN model with function approximation ability.
函数逼近能力是ANN具有的重要性能之一，依据ANN具有的函数逼近能力，可用ANN模型去替代一个确定的物理对象。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
The problems of universality and extensibility in nonlinear function approximation using small samples can be solved by the method, it a very efficient technique for nonlinear function approximation.
支持向量机方法能够解决小样本情况下非线性函数拟合的通用性和推广性的问题，是求复杂的非线性拟合函数的一种非常有效的技术。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
In this example, a finite sum of harmonics for approximation of a ramp function is demonstrated graphically for the parameter variation of number of total harmonics.
本例图示以有限谐波级数和近似斜坡函数随总谐波数量之变化。
An appropriate selection of basis function directly in? Uences the learning performance of a policy iteration method during the value function approximation.
在策略迭代结强化学习方法的值函数逼近过程中，基函数的合理选择直接影响方法的性能。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
针对实际系统的输入输出是与时间有关的连续过程，提出了一类用于连续过程逼近的过程神经元网络模型。
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.
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。
The aim of Multiscale Geometric Analysis is to find a kind of optimal representation of high dimension function in the sense of nonlinear approximation.
多尺度几何分析旨在构建最优逼近意义下的高维函数表示方法。
Recently, there are a lot of papers which study the integration and the approximation for anisotropic function Spaces and isotropic function Spaces in different Settings.
近年来，有许多文章研究各种函数空间在各种框架下各向同性和各向异性的数值积分与逼近问题。
An approximation function of the fractal image regardless of black and white or colour can be considered as a fuzzy set. So the research of iterated fuzzy set system (IFZS) is necessary.
分形的黑白图象和彩色图象之逼近函数可以看作一个模糊集，因此对迭代模糊集系统IFZS的研究是极有必要的。
RBF neural network is a kind of local approximation neural networks. In theory, it can approximate any continuous function if there is enough neuron.
RBF神经网络是一种局部逼近的神经网络，理论上只要足够多的神经元，R BF神经网络可以任意精度逼近任意连续函数。
Using maximum approximation of differential Negentropy, an objective function for ICA is introduced and a Fast-ICA algorithm based on maximum Negentropy is presented.
使用差分最大负平均信息量的方法，一个为ica的目标函数和一个快速ica算法在文中被提出。
The meshing stiffness is calculated by employing 3-dimensional FEM and its function is formed by cubic spline interpolation and approximation of the discrete mesh points in a mesh period.
采用三维有限元法计算了斜齿轮副啮合刚度，用三次样条插值拟合得到时变啮合刚度函数。
An appropriate selection of basis function directly in?uences the learning performance of a policy iteration method during the value function approximation.
该算法先用渐进方法进行多序列比对，然后通过迭代策略，利用上一轮多序列比对结果修正指导树，产生新一轮比对。
An appropriate selection of basis function directly in?uences the learning performance of a policy iteration method during the value function approximation.
该算法先用渐进方法进行多序列比对，然后通过迭代策略，利用上一轮多序列比对结果修正指导树，产生新一轮比对。
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