This method is also suited to design approximation function of passive filter.
这种方法同样适用无滤波器的近似函数设计。
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。
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。
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。
If you want strict equalities in approximations means that we replace the function by its tangent approximation.
如果你想要严格的近似等式,那就意味着我们要用切线逼近来取代原函数。
And, if we set these things equal, what we get is actually, we are replacing the function by its linear approximation.
如果把这两个看做等价的，实际上，就是用函数的线性近似式来代替原函数。
So, we can say that a circle is a good approximation for a 1 s wave function.
所以我们说一个圆是，对1s波函数的好的近似。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
If we want to be a bit more precise, we know that when we change by t, t that's for linear approximation to how the function changes.
如果我们想更加精确一点，我们知道当t变化的时候，乘以导数就出现了，well, t, times, the, derivative, comes, in，这是函数变化量的线性近似。
At paraxial approximation the maximum of the matching function is increasing with increased divergence Angle. For different brightness of pumping light, the optimum value of the Angle is obtained.
发现在旁轴近似下，匹配函数的最大值随泵浦光发散角的增大而增大，在考虑到像散的影响后，得到泵浦光发散角的参考值。
Study on approximation ability of nonlinear function.
模糊系统对非线性函数逼近能力的研究。
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 elementary approximation starts off with constant function, and is feasible and efficient.
这个初等逼近是从常值函数开始的，并且是可行的和有效的。
As one of the most important capability of ANN, function approximation ability can be used to design ANN model, which can characterize certain physics object.
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。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
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。
Presently it has been widely used in pattern recognition, function approximation and data mine etc.
目前，已被广泛应用于模式识别、函数逼近、数据挖掘等领域。
It is to select product samples, then to use methods of function approximation and set up model.
首先选取产品样本，然后采用函数逼近方法建立评价模型。
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 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。
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。
The research on support vector regression has an important theoretical and applicable significance on function regression(re-gression approximation).
支持向量回归问题的研究，对函数拟合（回归逼近）具有重要的理论和应用意义。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
The approximation operator for every kind of the objective function is different in approximation Theory.
在逼近问题中，对于不同的目标函数，采用的逼近算子也有所不同。
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。
Finally, the proposed method is applied to the problem of nonlinear function approximation.
最后将所提出的方法用于解决非线性函数的逼近问题。
Then the new function space is introduced and the stability problem for the finite difference scheme is discussed by means of variational approximation method in this function space.
然后引入新的函数空间，并在这个空间上，采用变分近似法讨论了该格式的稳定性问题。
Then the new function space is introduced and the stability problem for the finite difference scheme is discussed by means of variational approximation method in this function space.
然后引入新的函数空间，并在这个空间上，采用变分近似法讨论了该格式的稳定性问题。
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