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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
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LM算法
老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitiv
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LM算法的c语言实现
拟合的函数为gauss函数-Levenberg-Marquardt Method
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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
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The Levenberg–Marquardt Method
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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
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％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
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％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
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％ Given a set of cor
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Levenberg-Marquardt最小二乘拟合-Levenberg-Marquardt LeastSquares Fitting
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a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm
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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
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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
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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。~..~
-Neural Network Prediction LmNet
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Levenberg-Marquardt优化-Levenberg-Marquardt optimization
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The Levenberg–Marquardt Method writed by Lourakis
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求算非线性最小二乘问题的经典算法。Levenberg-Marquardt算法。-This is levmar, a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm. levmar includes double and single precision LM versions, both
with analytic and finite differ
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levenberg-marquardt算法用于模糊系统训练-levenberg-marquardt algorithm for fuzzy system training
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Levenberg-Marquardt numerical algorythm in Delphi
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这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！-This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of f
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Code for Levenberg–Marquardt algorithm.
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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