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Therefore, to the subsample's observation of continuous random parent population, if its material function can not be gotten easily,the presented method can be used to approximate its distribution function,and good approximation effect can be achieved.

因此对连续型随机样本母体中的简单随机子样的观察值,在不易得到其具体分布的情况下,可用此方法来近似求出其分布函数并可达到很好的逼近效果。

Therefore, to subsample"s observation of continuous random sample parent population, if we can"t get its material function easily, or we dont know its density function, we can use this way to approximate its distribution function. And these methods can achieve good approximation effect.

对连续型随机样本母体中的简单随机子样的观察值,在不易得到其具体分布或不知道其密度函数的情况下,可用此方法来近似求出其分布函数并可达到很好的逼近效果。

The Radical asis Function Neural Network is a feed-forward NN model with the capacity of local approximation, so it can be used as a multiple-user detector in the CDMA.

径向基函数神经网络是一种具有局部逼近能力的前向神经网络模型,它可用作码分多址中的多用户检测器,并具有较好的检测性能;但是存在不足,主要表现在网络的构造和训练算法的优化方面。

Based on the sizeof the set of perturbed minimal points in the variational principle, the differentiability of lower semicontinuous functions is examined by means of approximation of the infconvolution sequence.

摘要通过函数的下卷积函数列的逼近方法,在变分原理中从扰动最小值点集的"大小"入手,研究了下半连续函数的可微性。

The proposed method can reconstruct curves from data set with arbitrary topology, such as simply connected, multiple connected and closed scattered points, keep the shape characteristic of point set well, especially in the segments with high curvature, and provide effective methods and technologies for the screw reconstrucion.

因此最短路逼近算法有效地解决了单连通、多连通和封闭的数据点集的曲线重建问题,较好地保持了数据点集的形状和走向,尤其是带尖点的数据点集的形状特征,为旋转面、螺旋面和可展曲面面的重建提供了有效方法和技术。

In Chapter 7, we consider the numerical solution of system of mixed nonlinear variational inequalities in Banach space. The definition ofη—proximal mapping for a proper subdifferentiable functional is introduced.

我们先引入适定次可微泛函的η—逼(来源:ABCa776论文网www.abclunwen.com)近映射的概念,利用η—逼近映射的性质,提出了求解SMNVI的一些迭代算法,并证明了算法的收敛性。

A novel method is produced by utilizing MOCPM in ABAC, which is more effective than traditional methods.

将此模型应用到二进制算术编码中,形成了一种比传统二进制算术编码更有效的方法,能让平均码长变短并使得码字的信息量逼近符号的熵率,从而显著提高二进制算术编码的数据压缩比(可高达90%)。

This paper utilizes the nonlinear mapped competence and consilient approach to faculative function of Artificial Neural Networks and discusses the application of Back Propagation Networks model in integrated bid evaluation in order to set up a scientific bid evaluation method based on impersonality and experts knowledge. With the unceasing development of computer network technology, this method has a bright perspective of being conducted on the computer network.

本文利用人工神经网络的非线性映射能力以及对任意函数的一致逼近性能,对BP (Back Propagation,多层前向网络)网络模型在综合评标中的应用进行了探讨,目的是建立一种科学的基于客观和专家知识的评标方法;并且随着计算机网络信息技术的不断发展,可将该方法拓展为网上在线评标。

In this paper, model of vehicle with double axes is used to study the vibrations of vehicle-bridge dynamic interaction system. The active control law based on linear optimal control theory is designed, In which the transient power flow and displacement at mid-span of bridge are accounted separately.

本文采用能更加逼近真实车辆的双轴车辆模型,应用线性最优控制理论,采用可有效控制一阶振型的双臂弯矩控制系统,分别以双轴车辆输入桥梁的瞬时功率流和桥梁的跨中位移振动响应为目标函数来设计控制律。

To solve the problem, the error estimates for multivariate Lagrangian interpolates are given. From this, the upper bound of the rule number for a good multi-input fuzzy controller can be found out. The errors for a fuzzy controller to approximately precise control can be obtained after determining fuzzy rule base.

为讨论此问题,给出了多元Lagrange插值公式的误差估计式,并据此推导出一个好的多输入模糊控制器所需规则个数的上界,当模糊规则库确定之后,可求得用模糊控制器逼近精确控制时的误差。

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