搜索资源列表
nonrigid_version7b
- 非刚性图像配准算例,包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法,用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
fminlbfgs_version2
- 这是一个快速的拟牛顿法程序,非常实用,非常强大-FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients. Supported: - Quasi Newton Broyden–Fletcher–Goldfarb–Shanno (BFGS). -
Steepest
- 计算梯度下降法计算极值,只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
gddemo
- GDDEMO runs a little demonstration of gradient descent in Matlab. Launch Matlab, and type gddemo to get started.
my_least_squares
- -least squares algorithms using gradient descent to find minimum of function - gaussian fit algorithm
optimization
- Derivative-based Optimization using The Gradient Descent
Fuzzy_Finalmodify
- Nonlinear Dynamic System Identification : Design of Fuzzy Systems Using Gradient Descent Training
Gradient-descent-of--regression
- 给定一组数据,用梯度下降法进行一元线性回归。包含数据和源程序。-Given a set of data, a linear regression using the gradient descent method. Contains the data and source code
data-mining-gradient-descent
- 机器学习,数据挖掘,利用梯度下降的算法来实现。-Machine learning, data mining, using the gradient descent algorithm.
Gradient-Descent
- 最小梯度下降算法,有测试实例,可以直接运行。求最小值,回归都可以-The minimum gradient descent algorithm, test cases can be run directly. For the minimum, return all OK
The-gradient-descent-method
- 梯度下降法是一个最优化算法,常用于机器学习和人工智能当中用来递归性地逼近最小偏差模型-The gradient descent method is an optimization algorithm used in machine learning and artificial intelligence to recursive approximation of the minimum deviation model
Gradient-Descent
- 梯度下降(可视化,两个例子),对于初学者来说有用。-Gradient Descent(visualization,two examples)
HousePrice(gradient-descent)
- 利用机器学习算法实现南京房价预测。已知2000年至2013年的南京房价,利用梯度下降法预测2014年南京房价。-Nanjing using machine learning algorithm to predict prices. Known 2000-2013 Nanjing prices, using the gradient descent method to predict 2014 Nanjing prices.
Gradient-Descent
- 梯度下降算法示例,二元函数求最值,可直接运行,有注释-Gradient Descent algorithm
Gradient-Descent-Method
- 梯度下降法原理及例题实例及matlab相关资料-Gradient Descent Method
Batch-Gradient-Descent
- 分别使用了批梯度下降法和牛顿法进行线性回归的测试。-Respectively the batch gradient descent and Newton s method of linear regression tests.
Gradient-Descent-Toys
- Toy examples in Python for Gradient Descent Algorithm
Nesterov-accelerated-gradient-descent-master
- 加速梯度下降算法求函数最优值,用加速梯度下降算法,可以明显缩短优化时间(accelerated gradient descent algorithm)
armijo-constant-diminishing
- 使用梯度下降法求无约束问题最优解,包括最速下降法,常数步长下降法等。(Find the best solution to the unconstrained problem, using gradient descent method.)
HPPP&distance matriix &gradient descent method
- 使用HPPP进行多小区、多用户撒点之后,计算任意用户到任意小区的距离,和梯度下降法寻找最优解(After using HPPP for multi cell and multi-user dissemination, the distance between any user and any cell is calculated;and the gradient descent method is used to find the optimal solution.)