搜索资源列表
Conjugate-gradient-method-matlab
- 共轭梯度法 SUMT内点法 最速下降法 牛顿法 matlab实现-Conjugate gradient method SUMT interior point method the steepest descent method Newton method matlab
myGradientDescent
- This my first implementation of gradient descent algorithm in which I will write about the evolution of neural networks. I will start with the most simple network of all, the Single Layer Perceptron, and work through different architectures and learn
SGD-CMA
- 智能天线SGD一CMA随机梯度下降恒模算法matlab仿真-Smart antenna SGD-CMA stochastic gradient descent constant modulus algorithm matlab simulation
BJM
- 采用梯度下降法确定RBF神经网络基函数的中心，煤气炉数据辨识的仿真研究-Using gradient descent method to determine the center of the RBF neural network basis function, the identification of the gas furnace data simulation study
hucrf_code
- Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF-We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experim
BPtiduxiajiangfa
- BP神经网络的训练算法，使用梯度下降法，通俗易懂-BP neural network training algorithm using the gradient descent method, easy to understand
shijuemoxingbianyuanjiance
- 文章提出了一种基于视觉模型的图像边缘检测算法作者采用具有反馈和前项控制连接的侧抑制模型进行图像信息进行处理, 用零阶和二阶厄米特函数的组合产生系统的控制模板, 组合系数通过梯度下降学习算法确定这种以生物视觉感知机理为基础的神经计算方法-This paper puts forward a kind of image edge detection based on visual model algorithm author with feedback and the control connecti
Conjugate-Gradient-Method
- 共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。-Conjugate gradient method (Conjugate Gradient) between the steepest descent between law and Newton'
ABpTRAININGd
- 自适应步长BP神经网络训练算法，采用最小误差和梯梯度下降法更新权值 ，经测试可直接使用。 -Adaptive step size BP neural network training algorithm, the minimum error and ladder gradient descent to update the weights, has been tested and can be used directly.
conjugategradientmethode
- 比较了三种学习方法 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method. 三种方法都在一个.m文件中被实现。-compare three learning methods: 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method.
regularization
- MATLAB code for gradient descent using cross-entropy error function and regularization
BP
- matlab代码，用BP算法实现函数逼近，权值优化采用梯度下降法-matlab code, function approximation using BP algorithm weights optimization using gradient descent method
cgsolve(1)
- 共轭梯度下降法，Ax = y,求x.矩阵A为共轭对称稀疏矩阵,cgsolve matlab 程序-Conjugate gradient descent method, Ax = y, seeking x. Matrix A is conjugate symmetric sparse matrix, cgsolve matlab program
Genetic Nonlinear Matlab
- 遗传算法虽然全局搜索能力较强，但是局部搜索能力较弱，一般只能搜索到函数优化问题的次优解，而不是最优解，特别是函数具有多个峰值时，遗传算法易陷入局部极小，不能找到真正的全局最优解。非线性规划因多采用梯度下降方法求解，而具有极强的局部搜索能力。因此，本源代码结合两种算法的优点，一方面采用遗传算法进行全局搜索，另一方面采用非线性规划进行局部搜索，以得到函数优化问题的全局最优解。实验证明，这种方法不仅能解决多峰函数寻优易陷入局部极小的问题，而且具有很高的迭代寻优效率，取得了满意的结果。-Global s
matlabprogram
- 改进的最速梯度下降法，优于数值优化，matlab实现-Improved the speed gradient descent method, which is higher than that of numerical optimization
machine1
- 用MATLA实现机器学习中的批处理梯度下降法和随机梯度下降法-Batch gradient descent method and stochastic gradient descent method in machine learning using MATLA
lm_examp
- The Levenberg-Marquardt curve-fitting method is actually a combination of two minimization methods: the gradient descent method and the Gauss-Newton method.
Lecture9_LinearREgression
- matlab中用梯度下降法进行线性回归，是机器学习的例程。很好很实用。-machine learning.linear regression and gradient descent way.
Opt_Steepest11
- 梯度下降法源程序,可求得给定函数的极小值-code of Gradient descent algorithm
bp-pso-matlab
- PSO替代梯度下降训练BP网络，将代码从doc复制出来即可-The PSO alternative gradient descent training of BP network, the code is copied from the doc can