搜索资源列表
BP
- 梯度下降的BP网络算法实现，没有调用matlab的BP网络工具函数，matlab编程。-Gradient descent BP neural network algorithm, the BP network tools no call matlab function, matlab programming.
liblinear-1.92.tar
- 经典随机梯度下降SVM，一个简单易读的线性分类器代码，执行速度快，分类准确率也不错，适用于大规模图像分类。-The classic stochastic gradient descent SVM, a linear classifier code easier to read, faster execution speed, good classification accuracy, suitable for large-scale image classification.
ICA_gradient_descent
- ICA梯度下降算法，里面包含了数据用来验证梯度下降算法的实现过程。对ICA的具体算法有清楚的了解。-ICA gradient descent algorithm, which contains the data used to verify the gradient descent algorithm implementation process. Have a clear understanding of the specific algorithms of ICA.
train-the-BP-network
- 采用动量梯度下降算法训练 BP 网络，输入矢量和目标矢量-Using momentum gradient descent algorithm to train the BP network
s4
- 基于遗传算法的作业排序方法 利用梯度下降法求解线性判别函数-Job sorting method based on genetic algorithm using the gradient descent method for solving linear discriminant function
GradientOptimisation
- gradient descent optimisers for black box optimisation.
ganzhiqi
- 感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。-The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, i
Lizilvbogenzong
- 提出了一种基于粒子滤波的自适应运动目标跟踪方法。均值漂移算法是一种最优梯度下降法，通过 迭代来搜索目标，从而实现对运动目标的跟踪。-Adaptive moving target tracking method based on particle filter. The mean-shift algorithm is an optimal gradient descent method, through an iterative search for the target in order t
dongliangsuanfa
- 采用动量梯度下降算法训练BP网络，证明,一个3层的BP网络能够实现任意的连续映射,可以任意精度逼近任何给定的连续函数。-Using momentum gradient descent algorithm to train the BP network, proved that a three-layer BP network to any continuous mapping can be arbitrary-precision approach any given continuous fun
matlab
- The network weights are adjusted during the online implementation. The method used is based on the gradient descent method (GD), which is a simple and fast method for online adaptation.
QPCCP
- This paper presents a quadratic programming based cluster correspondence projection (QPCCP) algorithm, where the optimal correspondences are searched via gradient descent and the constraints on the correspondence are satis-fied by projection onto
WatershedSegmentation1
- 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分 类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低 的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些 小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正 如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其 他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的
jsgd-61
- 该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification-This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classificat
CG_MNIST
- 只是一个关于用共轭梯度下降算法处理数据的程序，本程序处理的数据对象为MINST,该程序在线性搜索上有很好的效果-Only one on the use of conjugate gradient descent algorithm data processing procedures, the procedures for processing the data object is MINST, linear search for the program have a good effect o
ml1
- 使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流-matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges
gradientDescentTrain.m.tar
- 一个matlab的m文件，使用梯度下降法进行数据训练实现数据分类（线性可分问题）- A matlab m file, the training data using a gradient descent method for data classification (linearly separable problems)
multivariategraddesc
- multivariate gradient descent example program
GradientDescent
- 梯度下降示例程序(Matlab),希望能帮助到您。-Sample program of Gradient Descent(Write In Matlab),I hope it helps you.
ml-master
- 使用梯度下降方法基于MATLAB的大小根据区域预测的价格的房子-Using gradient descent method based on MATLAB according to the size of the area for prediction of the price of the house
Pansharpening
- 基于非局部图像去噪模型的遥感图像融合的变分方法。该变分方法采用梯度下降法。-Variational method of remote sensing images nonlocal image denoising model fusion. The variational method using gradient descent.