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regularization相关的网络例句

查询词典 regularization

与 regularization 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper, we used the regularization method and the best disturbed iteration to solve such more extensive equations: every kind of positive problems and inverse problems of the hyperbolic partial differential equation and parabolic equation. We give homologous methods to solve the positive problems and inverse problems of nonlinear Burgers equation and Boussinesq equation.

本文应用正则化方法和最佳摄动量法,解决了一类更广泛的双曲型和抛物型偏微分方程的各类正问题及反问题,对非线性的Burgers方程及Boussinesq方程的正问题及反问题,也给出了相应的求解方法。

In accordance with the error function between the measured intensity and calculated intensity, and the regularization terms for different source models, this method estimates the illuminant direction for images of different source models.

该方法根据图像的实际强度与计算强度间的误差函数以及适合不同光源模式的约束条件,估计不同光源模式下图像的光照方向。

Note that regularized problems are usually defined in an infinite setting and have to be discTetized for an implementation and there have been many comparatively adult methods of calculating singular system. Therefore, there is no need to avoid the calculation of singular system in inverse problems calculating of numeric value. Here TSVD Regularization Method is very simple and quite effective one.

考虑到反问题的数值计算需要将问题离散化,化为有限维的问题来进行处理,而对于有限维算子的奇异系的计算已经有了相当成熟的各种算法,因此在反问题的数值计算中没有必要避开奇异系的计算,此时TSVD正则化方法是十分简单并相当有效的正则化方法。

In the ***, all types and fundamental principles of Radon transform are summarized systematacially. This *** starts from the general linear Radon transform, and then researches how to use the damped least square method to find the solution of the forward transform. However, the least squares smoothing effect will lead to a certain degree of trails in the data of Radon domain, which led to the application\'s limitations. After that the implementation in Radon domain and relative merits of linear Radon transform, parabolic Radon transform and polynomial Radon transform which have time invariance are introduced, the conjugate gradient method that can solve numerical solution is also given. And then the high resolution Randon transform is discussed, it introduces the regularization theory and Bayes principle into inversion, which successfully remove the negative affect caused by discrete Radon transform. Finally, we introduce the optimal weighting similar coefficient Radon transform, which adapt to the time variant quality of hyperbolic Radon transform.

本文系统总结了Radon变换的各种类型及其基本原理,从τ- p变换(即一般线性Radon变换)出发,研究利用阻尼最小二乘平方法求解其正变换,但是最小平方法的平滑作用会导致Radon域数据存在一定程度的拖尾效应,给这种方法的应用带来了很大的局限性;然后先容了具有时不变性的线性、抛物和多项式Radon变换在频率域的实现及其优缺点,给出了求解其数值解的共轭梯度算法;接着讨论了高分辨率Radon变换,它把正则化思想和贝叶斯原理引进到了反演中,很好的克服了离散Radon变换产生的截断效应对结果的不利影响;最后先容了适应双曲Radon变换时变性质的高分辨率最优相似系数加权Radon变换。

This dissertation focuses on the spherical wavelet expansion of the earth gravity field and its application. Based on the concept of the integration approaches and radial basis functions the spherical wavelet is put forward, with that the earth gravity field is described in a new way, and some other researches are conducted, they are: spherical wavelet regularization, multiscale approximation of satellite gravity measurement, down continuation of airborne geavimetry data, the least squares properties of geopotential wavelet approximation, the spherical wavelet solution of two kinds of BVP and spherical selective multiscale reconstruction.

本文围绕地球重力场的球面小波展开及其应用进行研究,在积分逼近与径向基函数概念的基础上引入了球面小波,利用球面小波对重力场展开进行了重新表示,在此基础上进行了球面小波正则化、卫星重力多尺度逼近、航空重力数据向下延拓、重力场球面小波逼近的最小范数性质、两类边值问题的球面小波实用解、球面选择多尺度去噪方法等方面的研究。

Domestic regulatory mechanism in the regularization and legalization, is also unable to meet overseas requirements of institutional investors.

国内监管机制的规范化,法制化,也无法满足要求的海外机构投资者。

Compared to the existing adaptive approach, the proposed approach needs not the original image or the accurate noise-variance value to compute the local regularization parameter, and work well in the presence of serious noise.

该方法与现有的自适应正则化方法相比,在计算局部正则化参数方法时不需要知道原始图像或精确的噪声方差,在噪声较为严重的条件下复原结果更优。

By dealing with regularization error,sample error and hypothesis error,we estimate the total error in terms of properties of the kernel,the input space,the marginal distribution,and the regression function of the regression problem.

样本相关的假设空间将为误差分析带来一项额外的假设误差,这一点与通常情况下样本无关的假设空间有本质的区别。

Dwell time algorithm based on matrix algebra and regularization method .

基于线性代数和正则化方法的驻留时间算法。

This method was mainly built on the operator matrix's singular value decomposition in the first class of operator equations, and then the best regularization parameters were selected in accordance with the characteristics of singular value so as to identify filter function, thereby removing noise of the function.

该方法主要建立在第一类算子方程的算子矩阵进行奇异值分解的基础上,然后根据奇异值的特征选取最佳正则化参数确定滤子函数,从而达到对该类函数的噪声去除效果。

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