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L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。-L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate app
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L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。-L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, chang
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求解非线性问题的一种算法，综合了梯度法和牛顿法的优点-An algorithm for solving nonlinear problem, taking advantages of gradient method and Newton method
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levenberg-marquardt算法，采用MATLAB实现-levenberg-marquardt algorithm, using MATLAB implementation
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张正友标定法，读取张正友的数据处理。在simon的基础上添加了少量注释，改正了新版本levenberg-marquardt不能运行的问题。-Read Zhang Zhengyou calibration, data processing. Add a small amount of notes on the basis of Simon, a new version of Levenberg-Marquardt cannot run to correct the problem.
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Levenberg-Marquardt(LM)算法matlab-Levenberg-Marquardt(LM) arithmetic matlab
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Extraction VTO. GAMMA, PHI for EKV MOSFET Model using Levenberg–Marquardt algorithm.
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levenberg-marquardt算法，有C代码和matlab代码，可参考使用-Levenberg-Marquardt algorithm, C code and matlab code, the use of reference
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This a brief tutorial on refining the Camera Calibration parameters using the Levenberg
Marquardt (LM) algorithm in C++. For readers who are new to LM and camera
calibration, links to useful sites and documents are provided below-This is a brief
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Levenberg-Marquardt algorithm for non-linear fitting, written in Labview language
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用Python语言实现LM(Levenberg-Marquardt)算法。-implementation of LM(Levenberg-Marquardt) algorithm with python.
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列文伯格-马夸尔特算法的一个实例程序，通过一组简单的数据实例，运用列文伯格-马夸尔特法迭代逼近最佳解。-an example of using Levenberg-Marquardt algorithm to get the best results
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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。-Levenberg- Marquardt algorithm is one of the optimization algorithms.Optimization is to find the minimum value function of the parameter vector.
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基于FPGA两种基于非线性最小二乘法的电力系统频率跟踪方法，搜索算法和Levenberg-Marquardt算法。- least square method FPGA
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lm算法的程序。lm算法是使用最广泛的非线性最小二乘算法，中文为列文伯格-马夸尔特法。-lm algorithm procedure. lm algorithm is the most widely used non-linear least squares algorithm, Chinese as Levenberg- Marquardt method.
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This function simply uses Levenberg–Marquardt algorithm (LMA) to find optimum parameters and optimization.
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Levenberg-Marquardt method for training a Takagi-Sugeno fuzzy system
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method based on Neural
Network (NN) technique and accompanied with MMSE
(Minimum Mean Square Error), which corrects at the receiver
level, the Non-Linear (NL) distortions due to the HPA (High
Power Amplifier).-In this paper, we present a meth
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BP神经网络算法用来拟合加噪信号，并以动量梯度下降算法和减少内存的Levenberg-Marquardt算法两种训练方法进行该实例下的性能对比-BP neural network algorithm used to fit the noise signal, and to reduce the momentum gradient algorithm and memory Levenberg-Marquardt algorithm two training methods to compare t
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Feedforward neural network structures have extensively been considered in the
literature. In a significant volume of research and development studies hyperbolic tangent
type of a neuronal nonlinearity has been utilized. This paper dwells on the w
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