搜索资源列表
感知准则函数
- 感知准则函数,包括固定增量法和梯度下降法,都是模式识别中的基础算法.-perceptual function criteria, including fixed increment and the gradient method, which is pattern recognition algorithm based.
BpNetJava
- 单隐层神经网络,采用标准梯度下降法进行训练-single hidden layer neural network, using standard gradient method for training
rbf2
- 此源代码仍然是训练RBF网络的,但用的算法是梯度下降法,算法仍然是自己写的
fuzzyopt
- 用于汽车巡航控制系统的模糊控制算法,以及如何利用梯度下降法和卡尔曼滤波来优化模糊控制器的算法。The files illustrate a simple fuzzy control algorithm as applied to an automobile cruise control system. The files also illustrate how gradient descent and Kalman filtering can be used to optimize the fu
bp.rar
- BP神经网络自适应步长训练算法,采用最小误差法,梯度下降法,自适应调节权值,BP neural network training anaysis, is realized by using error feed back, gradient descent applied updating of synaptic weights
Optimization
- 约束最优化方法--最速下降法(也叫梯度法),是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
NLP
- matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法-matlab optimization program includes one-dimensional extremum problem without constraint adva
work
- 最优化问题的快速下降法,共轭梯度法,基于matlab算法。经过测试好用-Optimization problem of the rapid descent method, conjugate gradient method, based on matlab algorithm. Tested, easy to use
toro.tar
- 非常优秀的全局最优化算法实现,使用迭代随机梯度下降法处理高维度的最优化问题。国外很多优化工程也是在此基础上开发的。 作者:Giorgio Grisetti Cyrill Stachniss Slawomir Grzonka Wolfram Burgard-TORO is an optimization approach for constraint-network. It provides an efficient, gradient descent-based error minimiza
bp
- 用bp算法拟合正弦曲线,并采集数据。其基本思想是梯度下降法。-Sine curve fitting algorithm with a bp, and collecting data. The basic idea is the gradient descent method.
conjgrad
- 在matlab中实现共轭梯度算法,它的基本思想是在共轭方向法和最速下降法之间建立某种联系,以求得到一个既有效又有较好收敛性的算法-based on matlab to realize arithmetic of conjugate grads
unconstrained_optimization
- VC实现的,多维函数搜索,无约束优化方法, (1)最速下降法 (2)阻尼牛顿法(3)共轭梯度法 (4)鲍维尔法(5)变尺度法(6)单纯形法 -VC implementation, multi-dimensional function of search, unconstrained optimization methods, (1), steepest descent method (2) damped Newton' s method (3) conjugate gradient
Unconstrained_optimization
- 压缩包里包含了无约束优化问题常用的几种求解方法的源程序:变量轮换法(variable_rotation.m)、最速下降法(steepest_descent.m)、修正牛顿法(modified_newton.m)、共轭梯度法(conjugate_gradient.m)。另外,coefficient_matrix.m为目标函数系数获得矩阵,minval.m为最小值计算函数,gradient.m为梯度计算函数-Compression bag contains unconstrained optimiz
Nonlinear_Programming
- 非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序(3-拟牛顿BFGS方法).m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
Equalizer_LSM
- 基于LM算法实现的均衡器。采用梯度估计近似实现最陡下降法。给出最后实验误差平方的均值曲线图。有完整的注释。-LM algorithm based on the equalizer. Similar to the realization of the estimated gradient steepest descent method. Finally, given the experimental error of the mean-square curve. Note complete.
TIDUXIAJ
- 多变量无约束问题的优化最优化方法之梯度下降法-Optimization of the gradient descent method
Newton
- 回溯先搜索法梯度下降法与牛顿迭代算法结合的MATLAB例程(Backtracking first search method, gradient descent method and Newton iterative algorithm combined with MATLAB routines)
zuisuxiajiang_2+gongetidu_4
- 使用最速下降法和共轭梯度法实现优化功能,基于MATLAB平台使用m语言编写(Based on the MATLAB platform, steepest descent method and conjugate gradient method are used to achieve the optimization function with M language.)
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.)
code
- matlab实现四种最优化搜索方法 共轭梯度法 牛顿法 最速下降法 拟牛顿法 对一个十维函数的极值搜索(matlab optimal search)