搜索资源列表
svm-scale
- 将要丢入SVM支持向量机的资料作正规化的动作-will be down the SVM SVM information for the regularization of action
Matlab-Regularization-Tools-Hansen1998.tar
- Hansen最新（2008）修订后的关于反演正则化方法的电子书与相应Matlab程序
ANN_Matlab
- 书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
Imageprocessing.rar
- 包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。,It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Li
thin_plate.rar
- 薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。,thin plate spline is so nice fitting method. Features: (1) support arbitrary control points (2) allow regularization (3) estimate the warp parameters from corresponding pairs
BPtrainlmtrainbr.rar
- 用L-M 优化算法与贝叶斯正则化算法训练同一个样本,By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
corner
- 该程序找到了使用L曲线算法的拐点，是正则化程序中，寻求正则化参数的一种比较好的方法。CORNER Find corner of discrete L-curve via adaptive pruning algorithm.-The program found the algorithm using the L-curve inflection point, is the regularization process, the regularization parameter for a bet
LM
- 采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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，使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
PF_Regular
- 正则化粒子滤波程序，对SIR重采样步骤进行正则化处理，改进粒子滤波效果。-Particle filter regularization procedures, SIR resampling steps regularization, improved particle filtering.
wavepenergy
- 小波包能量代码，利用db1小波将信号分解和重构，然后计算小波系数的平方，进行正则化-Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization
marq
- ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of cor
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
Ho_Kashyap
- Ho—Kashyap线性分类算法（MHKS）采用了支持向量机最大化间隔的思想,利用面向矩阵模式的双边正则化实现线性分类。-Ho-Kashyap linear classification algorithm (MHKS) using support vector machine to maximize the spacing of the idea, using matrix model for bilateral Regularization achieve linear classifica
corr_LDA
- Semi-Supervised Discriminant Analysis (Manifold Regularization Way)
network
- 正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab
HW1_4
- RLS system identification + regularization
tikhonov
- Tikhonov.m 纪洪诺夫正则化方法-Tikhonov.m Regularization..............
Landweber
- Landweber迭代正则化的加速，一个很好的正则化方法！-Landweber iterative regularization of the acceleration, a good regularization method!
An_Algorithm_for_Total_Variation_Minimization_and_
- TV最小化模型的一个算法，以及相应的应用程序-An Algorithm for Total Variation Minimization and Applications