搜索资源列表
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.
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.
Perceptron_Function
- 感知器算法，利用C语言实现。利用梯度下降法进行迭代求解。-Perception algorithm, using C language, that is, we usually write operations, to share with you. . . .
bp-neural
- 采用动量梯度下降算法来训练 BP 神经网络，效果很好-BP neural training
bp-neural-training
- 采用动量梯度下降算法来训练 BP 神经网络，效果很好-BP neural training
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
Exercise8
- LES算法。包含梯度下降法优化算法，并且以图示每一步迭代权值如何更新。-LES algorithms. Contains gradient descent optimization algorithm, and with each iteration illustrates how to update the weights.
SVD_Simon
- SVD算法，用来实现矩阵分解，采用了梯度下降的思想来进行计算- SVD algorithm is used to implement matrix decomposition, using a gradient descent ideas to be calculated
gradient_descent-
- 梯度下降算法Python实现，用于logistic regression的训练问题。-Python implementation gradient descent algorithm for training logistic regression problems.
gradent_desent
- 梯度下降算法， 可以直接在电脑上解压运行，保证正确-Gradient descent algorithm can extract run directly on the computer, to ensure the correct
FNN
- 模糊神经网络，梯度下降算法。能以任意精度逼近任意连续函数-Neural network, gradient descent algorithm. Arbitrary precision can approximate any continuous function
slgohithm_descent
- 用C++实现了梯度下降求多元函数极值的算法,有可能会陷入局部最优解-By c++ implementation of a gradient descent algorithm of multivariate function extreme value, is likely to fall into local optimal solution
机器学习梯度下降
- 机器学习监督学习算法，梯度下降、批梯度下降(Machine learning supervised learning algorithms, gradient descent, batch gradient descent.)
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)
机器学习_梯度下降算法实现
- 机器学习_梯度下降算法实现——C++ 程序使用方法: 程序只包括一个源文件gradient.cpp 运行的时候,将train.dat和test.dat两个数据及gradient.cpp放在同个目录下. 利用以下命令行操作即可. g++ gradient.cpp -o gradient gradient 程序运行的结果会在命令行中打印出来 该程序10秒钟内可以运行结束.(Machine learning _ gradient descent algorithm)
BPdaqi
- 利用BP神经网络，以及梯度下降算法，实现对大气PM2,5的预测。(The prediction of atmospheric PM2. 5 is realized by BP neural network and gradient descent algorithm.)
tdxj
- 机器学习中的梯度下降算法的python版本的代码实现。有需要的可以下载(Implementation of the python version of the gradient descent algorithm in machine learning. There is a need to download)
优化算法
- 解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成，迭代方向分别由最速下降法，阻尼牛顿法，共轭梯度法，拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterative directions are generated b
智能优化算法资料
- 优化算法有很多，经典算法包括：有线性规划，动态规划等；改进型局部搜索算法包括爬山法，最速下降法等，模拟退火、遗传算法以及禁忌搜索称作指导性搜索法。而神经网络，混沌搜索则属于系统动态演化方法。 梯度为基础的传统优化算法具有较高的计算效率、较强的可靠性、比较成熟等优点，是一类最重要的、应用最广泛的优化算法。但是，传统的最优化方法在应用于复杂、困难的优化问题时有较大的局限性。(There are many optimization algorithms, the classical algori
L-BFGS-B-C-master
- 基于梯度下降法的最优迭代算法，在深度学习和神经网络中应用非常广泛，也非常好用(The optimal iterative algorithm based on gradient descent method is widely used in depth learning and neural network, and it is also very useful.)