搜索资源列表
Levenberg-Marquardt
- Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化
NNBP
- 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。随代码还提供帮助文件，非常方便。-BP algorithm Demonstration Program, which Levenberg-Marquardt algorithm has practical value. With the code also provides help files, a very convenient.
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
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
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
Levenberg-Marquardt
- Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化-Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters
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-Levenberg-Marquardt
JavaMath
- Java实现的各种数学算法，如矩阵运算， levenberg-marquardt优化算法等。-Java realize a variety of mathematical algorithms, such as matrix operations, levenberg-marquardt optimization algorithm.
VC++BP
- 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. 一、网络训练 程序默认状态是样本训练状态,现将样本训练状态下的如何训练网络进行说明: 1.系统精度: 定义系统目标精度,根据需要定义网络训练误差精度.误差公式是对训练出网络的输出层节点和实际的网络输出结果求平方差的和. 最大训练次数: 默认为10000次,根据需要调整,如果到达最大训练次数网络还未能达到目标精度,程
marq
- ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be train
lmfit
- Levenberg-Marquardt最小二乘拟合-Levenberg-Marquardt LeastSquares Fitting
levmar-2.3
- a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm
RunningLM
- matlab中使用LM训练方法计算XOR，3-bit Parity，regression等问题的收敛速度，比较其收敛率。-using LEVENBERG MARQUARDT in matlab to compute convergence rate
levmar-2.4
- A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand variables
LmNet_PF
- LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~ -Ne
LMprocess
- Levenberg-Marquardt优化-Levenberg-Marquardt optimization
Delineation
- This routine performs automatic curve fitting of overlapping lines. It uses a Levenberg-Marquardt fitting routine. The fit function can be Lorentzian, Gaussian or Mixed Lorentzian and Gaussian. Use Options->Line Fit t
Levenberg-Marquardt
- Levenberg-Marquardt 信赖域方法求解非线性方程组的Matlab程序-Levenberg-Marquardt trust region method for solving nonlinear equations of the Matlab program
Levenberg-Marquardt_Method
- LM算法的c语言实现 拟合的函数为gauss函数-Levenberg-Marquardt Method
Levenberg-Marquardt
- 这里有个Levenberg-Marquardt算法的程序和ppt介绍-Here' s a Levenberg-Marquardt algorithm described procedures and ppt