搜索资源列表
BPmatlab
- matlab使用BP网络的例子,使用Levenberg Marquardt算法提高训练速度,效果不错-use Matlab BP example, the use of Levenberg Marquardt algorithm to improve training speed, good results
Data-fitting-methods
- 提供了几种数据拟合的c++代码：1 直线拟合(FIT)；2 线性最小二乘法((LFIT, COVSRT), (SVDFIT, SVDVAR)(oddity), (FPOLY, FLEG)(example))；3 非线性最小二乘法((MRQMIN(Levenberg-Marguardt), MRQCOF(evaluation)), FGAUSS(example))；4 绝对值偏差最小的直线拟合(MEDFIT(cal para), ROFU
digital_recogonizer
- 神经网络进行手写数字识别： 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值. 带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practi
levmar-2.1.3
- levenberg marquit算法的.C源码-levenberg marquit algorithm. C source
NEURAL+NETWORK
- bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。
levmar
- Levenberg-Marquardt的c++优化代码。该代码适用各种非线性最小二乘问题
bpann
- bp神经网络， Levenberg-Maquardt算法-BPANN
NNET
- BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm. The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for mu
OptimizationSample1
- Golden section method and Levenberg-Markardy method
programme_I
- a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
Levenberg_maquardt_Algorithms
- levenberg-maquardt-algorithm 是用来数学模型优化，滤波等问题的。来自美国杜克大学。-levenberg-maquardt-algorithm is used to optimize mathematical models, filtering and other issues. From Duke University.
Levenberg-Marquardt
- 上传的是Levenberg-Marquardt方法的基本原理-Upload is the basic principle of the Levenberg-Marquardt method
Levenberg-Marquardt-
- 关于Levenberg-Marquardt算法的一篇论文-an article about Levenberg-Marquardt
Levenberg-Marquardt
- 基于Levenberg-Marquardt算法和最小二乘方法的小波网络混合学习算法-Levenberg-Marquardt algorithm based on least squares method and hybrid learning algorithm of wavelet network
Levenberg-Marquardt
- Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。根据求导数的方法.-Levenberg-Marquardt algorithm is an optimization algorithm. Makes optimization is to find the minimum value of the parameter vector function. Method according
The-Levenberg-Marquardt-Algorithm-for-Refining-Ca
- A Memo on How to Use the Levenberg-Marquardt Algorithm for Refining Camera Calibration Parameters
Levenberg-Marquardt-Method
- Levenberg–Marquardt Method，LM拟合优化算法的Matlab平台.m文件的实现-Levenberg–Marquardt Method. The inplementation of matlab.m
Levenberg Marquardt
- 针对数据处理中，非光滑约束方程组的求解不具有全局收敛性的问题，结合光滑化技术设计了Levenberg Marquardt算法。(Aiming at the problem that the solution of nonsmooth constraint equations does not have global convergence in data processing, a Levenberg Marquardt algorit
parameter
- 采用Levenberg-Marquardt算法实现函数的参数估计(Parameter estimation of function by using Levenberg-Marquardt algorithm)
Algoritm Levenberg-Marquardt
- In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used to solve non-linear least squares problems. These minimization problems arise