搜索资源列表
bp2
- 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
BPgaijin
- 采用动量梯度下降算法训练BP网络,有需要的下哦~-using gradient descent algorithm BP training network, it is necessary to the next, oh ~
tdrbf
- (转载)在网上找的用梯度下降算法开发的rbf神经网络曲线拟和程序。 -(reproduced) on the Internet to find the gradient descent algorithm development of the neural network rbf curve fitting and procedures.
dye-local-search
- Local search. Algorithm that explores the space of possible solutions in sequential fashion, moving from a current solution to a \"nearby\" one. Neighbor relation. Let S S be a neighbor relation for the problem. Gradient descent. Le
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
c.tar
- 总变分(TV) 图像复原模型的C语言源码. 使用C语言与Matlab 混合编程. 主要计算由C语言完成. 图像的读, 输出由Matlab实现. 包含梯度下降流法, Chambolle对偶法, 交替半二次型算法 固定点线性迭代算法等.-Total Variation (TV) image restoration model of C language source code. Using the C language and Matlab mixed programming. Mainly c
RBF_s
- 径向基神经网络,使用的算法梯度下降法,比较清晰,适合于初学神经网络的用户-RBF neural network, using gradient descent algorithm, more clarity, suitable for novice users of neural network
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
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.
bpnnet_154
- L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to i
conjugategrads
- 图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的 一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem,
lms_flp32
- 最陡下降法的梯度估计matlab小程序，对初学者有借鉴意义-Steepest gradient descent method is estimated matlab small procedures, there is reference for beginners
bp.example
- 采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
gradient_demo.m.tar
- 梯度下降算法实现程序，梯度下降算法实现程序-Gradient descent algorithm procedure
zuisutidu
- 最速梯度下降法-Steepest gradient descent method
GDtestsML
- gradient descent implementation, minimize cost with learning rate
SteepDescent
- Method of steepest descent
Gradient
- 梯度下降法python实现，神经网络的底层思想(Python implementation of gradient descent method, the underlying idea of neural network)