样条函数
- 网络Spline function
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统计学的新分支&样条函数方法
A new branch of statistics & smoothing spline method
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其中混杂因素如时间、温度用平滑样条函数进行控制。
Using smoothing spline to control the confounding factors such as time , temperature .
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并编写以B样条函数为母小波的小波变换判据算法程序。
This thesis edited wavelet transform program with B spline wavelet .
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位移模式采用双向三次B样条函数。
The displacement model is adopted double cubic B spline function .
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基于B样条函数的多尺度随机信号处理系统研究
Study of System in Multiscale Random Signal Processing Using B-Spline Function
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本文采用了非等距结点B样条函数求导的方法,它具有灵活统一的优点。
The advantage of the method is of flexibility and unity .
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变密度界面模型重力异常反演的B样条函数法
Interfacial models of variable density and gravity inversion by B-spline
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B样条函数的火箭弹图像边缘检测算法
An edges detecting scheme for rocket based on B - spline function
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磁力资料处理中复杂地形校正的B样条函数法
B spline function method for complicated terrain correction in magnetic data processing
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多维B样条函数网络应用于非线性时间序列预测
B-spline network of multi-dimension is applied to Prediction Problem of nonlinear Time Series
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并提出了由B样条函数生成的空间轨迹。
And space trajectory is resulted by B spline .
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构造B样条函数的积分方法及其具体运算
The Integral Method and Computation for Constructing B-Spline Functions
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B样条函数与图象边缘检测
B Spline Function and Image Edge Detection
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计算变密度任意形状地质体重力异常的B样条函数法
B spline function method for calculating gravity field of density-variable source body with arbitrary shape
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本文研究板壳几何非线性弯曲问题,用变量变换和三次B样条函数。
The paper has studied the geometric nonlinear bending problem of plates and flat shells .
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应用B样条函数改进LOG算子的边缘检测能力
Improved LOG Operator Edge Detection by Applying B-Spline Function
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应用样条函数处理GPS共视数据
Application of spine function to GPS common view data processing
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因此本设计选择B样条函数作为模糊神经网络控制器的隶属函数,以B样条函数为媒介将模糊控制与神经网络有机地结合起来,发挥各自优势,实现对控制器的优化。
So by combination of fuzzy control and neural-networks with B-Spline functions , can advance both advantages to control the system .
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本文把《计算几何》中的B样条函数和圆弧样条函数结合起来,给出了一种几乎完全利用计算机来设计公路纵断面线形的方法。
Based on B-spline and arc spline , this paper presents a method for designing vertical alignment of highway almost fully by computer .
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本文讨论了利用B-样条函数的平滑样条变换,实现多尺度检测血管造影图象边缘的方法。
This paper discusses a new multi-scale method by which the boundaries of vessel angiography can be accurately located with the B-spline transform .
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关于B样条函数,它具有分段光滑性,在函数逼近上具有更大的灵活性。
Because of the discontinuous smoothness of the cubic B-spline function , the functionis very flexible for the problem of the function approach .
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第四章是网格变形算法,引入了多分辨率的思想,利用双三次B样条函数求出网格点的值,由粗到细的实现三维物体的网格模型。
In the last chapter , a method combining mesh interpolation and multiresolution has been implemented to obtain 3D mesh model from coarse to fine .
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组合高斯滤波器的幅度传输特性偏差远小于这两种逼近滤波器,实现了高斯滤波高精度和高效率的统一。(4)研究了B样条函数的基本理论。
The linear combination Gaussian filtering is also efficient and more accurate . ( 4 ) The B-spline function is studied for implementing the Gaussian filtering .
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特别地,假定w(s)是有固定结点的样条函数。
In particular the function w ( s ) is supposed to be a spline function in this paper .
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这种方法具有适应于大陡度异常的优点,计算精度很高,比用B样条函数获得的结果还高一个级次。
This method is very applicable to the case of steep anomaly , and its accuracy is one grade higher than that of B spline function method .
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利用B-样条函数Nm(x)的性质证明最小支集样条小波函数的其它7个性质。
Seven more properties of minimum support spline wavelet are proved by means of the properties of B-spline function Nm ( x ) .
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文中还给出计算双圆弧样条函数的BASIC程序以及一个计算例题。有理双圆弧插值与双圆弧样条曲面
A BASIC programe for the binary arc spline function of the cam profile and an example are also shown in this paper . THE INTERPOLATION OF RATIONAL BICIRCULAR ARCS AND THE BICIRCULAR SPLINE SURFACES
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介绍了遗传算法(GA)的一种新应用&三次样条函数拟合中的参数估计问题。
A new application to parameter estimation in cubic spline function fitting via genetic algorithms ( GA ) is presented .
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采用B样条函数作为模糊隶属函数,利用神经网络实现模糊推理,提出一种模糊B样条基函数神经网络,并将其用于交流伺服系统的控制。
A fuzzy B-spline function neural network is proposed to control AC servo system by using B-spline function as fuzzy membership function and using neural network to realize fuzzy interfernce .
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文中基于B样条函数插值,推导了二维静态场中样条边界元法的计算公式,有效地处理了边界角点和奇异积分问题。
Based on B-spline function interpolation , the formulation of calculation of two dimensional statical electromagnetic field problems is obtained . Boundary corner and singular integration problems are efficiently handled .