搜索资源列表
smcg
- 共轭梯度法求解N*N对称正定方程组，将解方程组问题转化一个最优化问题。(The conjugate gradient method is used to solve the N*N symmetric positive definite equations, and the problem of solving the equation set is transformed into an optimization problem.)
contour_gradient
- 能够实现数据的等高线及其梯度的绘制，并生成可视化图形(The drawing of the contour of the data and its gradient and the visualization of the data)
梯度
- 神经网络中，基于梯度下降的线性分类器，对样本进行分类(In neural networks, linear classifiers based on gradient descent.)
Dl4j学习率衰减策略
- Dl4j学习率衰减策略代码,dl4j的学习率衰减策略应用部分是在反向传播计算完地图之后，调用Updater.update()方法对梯 度进行更新并且进行梯度的衰减。(Learning Rate Policy How to decay learning rate during training.)
梯度
- 本代码提供得到梯度幅值以及梯度方向的方法。(This code provides the method of getting gradient amplitude and gradient direction.)
prog_project
- 投影梯度法求解非光滑优化。。。。。。。。。。。。(projection gradient method)
小波基函数和图像融合评价指标
- 小波基函数和图像融合评价指标（清晰度、空间频率、梯度、信息熵）(Wavelet basis function and image fusion evaluation index)
Desktop
- 梯度下降算法的简单实现，比较基础，用于入门理解梯度下降算法(gd algorithm,basic and easy)
Optical tweezers toolbox
- 此程序利用MATLAB编程，模拟出梯度力和散射力，并绘制梯度力和散射力在轴向和横向上的曲线图。(This program USES MATLAB to simulate the gradient force and scattering force, and draws the gradient and scattering forces on the axial and transverse curves.)
3
- 梯度投影法 求解最优化问题， 有多个例子 ，可直接运行，运行code(There are many examples of gradient projection method for solving optimization problems. It can run directly and run code.)
预处理共轭梯度求解器
- 采用预处理的共轭梯度线性方程组求解方法，可以输入预处理矩阵。
1
- 拉普拉斯（Laplacian）梯度算子 和LoG（Laplacian of Gaussian）算子实现边缘检测。(Laplasse (Laplacian) gradient operator And LoG (Laplacian of Gaussian) operator to realize edge detection.)
GBDT
- 调用于sklearn平台的梯度提升决策树算法，有着较好的分类能力(The GBDT algorithm used in sklearn platform has good classification ability)
图像梯度域的计算
- 关于MATLAB的图像梯度域的计算，比较简单的介绍，希望对刚学习的有帮助
共轭梯度法
- 共轭梯度法是常用的算法，可以在有限步收敛，通过该程序可以直接求解方程。
八个方向的sobel边缘检测算法
- 利用八方向的sobel边缘检测，实现对图像多梯度的梯度检测，检测出的边缘信息更加平滑连续。(Eight direction Sobel edge detection is used to realize gradient detection of image multi gradient, and the edge information detected is more smooth and continuous.)
Matlab optimization programming example
- 分别用最速下降法、FR共轭梯度法、DFP法和BFGS法求解一个典型数学优化问题。(A typical mathematical optimization problem is solved by steepest descent method, FR conjugate gradient method, DFP method and BFGS method respectively.)
PGA相位梯度自聚焦算法
- 该程序仿真了相位梯度自聚焦算法PGA的实现过程，适用于雷达成像处理。
梯度下降求解逻辑回归
- 用梯度下降求解逻辑回归基于python语言的实现(Using gradient descent to solve logistic regression based on Python language)
梯度下降法求解回归问题
- 使用SOFTMAX分类器对已有的数据集进行分类(Classification of existing data sets using SOFTMAX classifier)