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Description: LM优化算法用于系统的参数估计和辨识-LM optimization algorithm for the estimation of parameters and Identification
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Size: 1231 |
Author: 谈心 |
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Description: LM优化算法用于系统的参数估计和辨识-LM optimization algorithm for the estimation of parameters and Identification
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Size: 1024 |
Author: 谈心 |
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Description: 优化算法程序包。有lm方法，
smarquart法，等等。-Optimization package. Have lm, smarquart law.
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Size: 52224 |
Author: 李琳 |
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Description: 非线性优化中的经典算法，LM算法，老外写的，言简意赅，对写优化程序很有用-nonlinear optimization of the classical algorithm, LM algorithm, a foreigner writing is concise and clear and optimization process of writing useful
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Size: 27648 |
Author: 小罗 |
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Description: L-M非线性优化算法源码，可以添加到你的工程文件中。-LM-source non-linear optimization algorithm, can be added to your project file.
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Size: 57344 |
Author: 万黎 |
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Description: L-M法的函数库，非常好用的非线性优化法，直接包含f2c.h即可使用LMDIF函数-LM law library, very easy to use non-linear optimization method, included direct f2c.h to use LMDIF function
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Size: 35840 |
Author: 吴子彦 |
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Description: L-M优化算法（trainlm）和贝叶斯正则化算法（trainbr）-LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)
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Size: 1024 |
Author: ouyinghua |
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Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates
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Size: 117760 |
Author: 王钰 |
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Description: 开发的lm算法,很有用的一种优化算法.
对非线性优化有很大用处-Lm developed algorithm, a useful optimization algorithm. Of nonlinear optimization have great usefulness
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Size: 31744 |
Author: 邵帅 |
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Description: 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 (trainbr), to facilitate the training of BP network
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Size: 3072 |
Author: 闫薇 |
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Description: 采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
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Size: 1024 |
Author: 周妍 |
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Description: 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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，使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will be used, that is, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network to enable it to fit attached to a white noise of the sinusoidal sample data.
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Size: 1024 |
Author: qiulan |
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Description: 用L-M 优化算法与贝叶斯正则化算法训练同一个样本-By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
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Size: 1024 |
Author: 胡月 |
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Description: 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 intuitive explanation for this algorithm. The LM
algorithm is fi rst shown to be a blend of vanilla gradient descent and Gauss-Newton iteration.
Subsequently, another perspective on the algorithm is provided by considering it as a trust-region
method-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 intuitive explanation for this algorithm. The LM
algorithm is fi rst shown to be a blend of vanilla gradient descent and Gauss-Newton iteration.
Subsequently, another perspective on the algorithm is provided by considering it as a trust-region
method
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Size: 31744 |
Author: TANG |
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Description: 采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元-LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons
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Size: 1024 |
Author: 蓝色梦幻 |
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Description: 这是一本关于最小二乘法非线性优化的问题，涉及了梯度下降法，牛顿法，LM算法等等，通俗易懂而且很容易更加内容直接编写代码，是一本不错的速成教材。-This is a book on nonlinear least squares optimization problem, involving a gradient descent, Newton, LM algorithm is so easy to understand and easy to write code more content directly is a good quick materials.
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Size: 436224 |
Author: 秦论剑 |
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Description: 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）-Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)
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Size: 3072 |
Author: chen |
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Description: 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，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；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network
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Size: 1024 |
Author: liuwei |
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Description: 基于大坝温控的温度预报程序，采用了L-M优化算法和贝叶斯正则化算法，结果良好-Prediction based on the temperature of the dam temperature control program, using the LM optimization algorithm and the Bayesian regularization algorithm, good results
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Size: 1024 |
Author: 杜晓帆 |
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Description: 主要是遗传优化算法，优化LM，起到很好的改进作用(Mainly genetic optimization algorithm, optimization of LM, play a good role in improvement)
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Size: 19829760 |
Author: yjabbt
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