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Tikhonov-Regularization-
- 本程序是基于Tikhonov正则化方法重建图像分析-This procedure is based on the Tikhonov regularization method for reconstruction of image analysis
bp.example
- 采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
segment
- 正则化切割图像，matlab代码实现，有样例可以直接运行。 -Regular cutting of the image, matlab code, and sample can be directly run.
minercheng
- 最小二乘问题的解法 最小二乘问题 正则化算法 正交变换 正交化算法-Least-squares problem Least Squares Solution of the problem is the orthogonal transform algorithm of the orthogonal algorithm
Tikhonovparainv
- 偏微分方程反问题的正则化方法，后验参数估计的方法-inverse problems of parabolic equations
errestools
- 用来估计病态线性方程组正则化求解时的误差。-To estimate the error of regulation method for the ill-conditioned system of linear equations
tikhonov
- Tikhonov.m 纪洪诺夫正则化方法-Tikhonov.m Regularization..............
regu
- 本工具包给出了反问题计算常用的正则化参数确定，求正则化解等方法。非常有效，是难得的一款好软件包-The kit gives the calculation of inverse problem regularization parameter commonly used to determine, find the regularized solution and other methods. Very effective, a good package is a rare
ccd
- 正则化超分辨率图像重建算法研究 简称S-Regularized super-resolution image reconstruction algorithm called SRR
Regularization
- 病态方程的正则化，用matlab实现正则化算法。-Morbid equation, regularization, with the regularization algorithm matlab implementation.
Super-resolution-Reconstruction
- 关于主要的图像超分辨率重建和复原算法，配准，实例，正则化-Super-resolution images on the major reconstruction and restoration algorithm, registration, case, regularization
restore-image
- 用正则化公式X（k+1)=X(k)+t(A Y-A AX(k)-aL LX(k))来恢复图片-using the formula of X（k+1)=X(k)+t(A Y-A AX(k)-aL LX(k)) to resore image
tikhonov正则化算法MATLAB版
- 此正则化算法主要应用于解决数学上的方程有一个小的扰动就会引起很大的误差的问题，此方法可以有效的解决该问题
tikhonov
- 计算病态反问题时所采用的的正则化方法(Regularization method used in the computation of ill posed inverse problems)
SolveDALM
- l1正则化算法中的一种，用于计算矩阵方程(One of the L1 regularization algorithms used to compute matrix equations)
tikhonov
- 吉洪诺夫正则化的matlab函数，可以自己选择参数值，调用即可(The matlab function of Tikhonov regularization)
正则化
- 神经网络正则化样例;正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。(Regularization (regularization) means that in linear algebra theory, ill posed problems are usually defined by a set of linear algebraic equations, and this se
线性方程组计算
- 利用高斯消元法法求解病态矩阵——hilbert 矩阵的线性方程组。通过条件数分析，找出误差较大的原因。再利用 Jacobi 迭代方法、G-S 迭代方法和 SOR 迭代法做了进一步探究。另外，作为要求之外的，还使用共轭梯度法来求解方程以来进行对比，并利用Tikhonov 正则化的方法改善矩阵的条件数，来减小误差。(The Gauss elimination method is used to solve the linear equations of the ill conditioned mat
tikhonnov正则化matlab代码
- 正则化代码，包括了常用的正则化方法以及L曲线求取最佳参数。(Matlab code for regularization)
正则化
- 深度网络中防至过拟合的情况，可以使用正则化，这里将实现L2正则化(In case of overfitting in deep network, regularization can be used, and L2 regularization is implemented here.)