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使用Levenberg-Marquart算法(最小二乘法)对BP神经网络进行训练,克服了传统BP算法收敛慢,容易收敛于局部最小值等缺点-use Levenberg-Marquardt algorithm to overcome some disadvantages like slow convergence which traditional BP neural network usually has
Date : 2025-07-13 Size : 1kb User : 薛正

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
Date : 2025-07-13 Size : 31kb User : TANG

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a sparse implementation of the Levenberg Marquadt algorithm for the PARAFAC model and a multi-way incomplete data generator for Matlab.
Date : 2025-07-13 Size : 11kb User : ria
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