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Levenberg–Marquardt algorithm

Known as: Levmar, Levenberg Marquardt, Levenberg-Marquardt algorithm 
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA), also known as the damped least-squares (DLS) method, is used to solve non… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper a modification on Levenberg-Marquardt algorithm for MLP neural network learning is proposed. The proposed algorithm… Expand
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Highly Cited
2005
Highly Cited
2005
The Levenberg-Marquardt (LM) algorithm is an iterative technique that locates the minimum of a function that is expressed as the… Expand
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Highly Cited
2005
Highly Cited
2005
In order to obtain optimal 3D structure and viewing parameter estimates, bundle adjustment is often used as the last step of… Expand
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Highly Cited
2004
Highly Cited
2004
The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It outperforms simple gradient descent and… Expand
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Highly Cited
2004
Highly Cited
2004
Des perceptrons multi-couches (PMC) sont testes pour la prevision et l'estimation de la concentration en matieres en suspension… Expand
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Highly Cited
2004
Highly Cited
2004
Abstract Abstract The prediction and estimation of suspended sediment concentration are investigated by using multi-layer… Expand
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Highly Cited
2000
Highly Cited
2000
The Levenberg-Marquardt algorithm is often superior to other training algorithms in off-line applications. This motivates the… Expand
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Highly Cited
1996
Highly Cited
1996
The application of the ‘‘model trust region’’ modification of the instrumentation. Two of the most important advances inLevenberg… Expand
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Highly Cited
1977
Highly Cited
1977
 
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Highly Cited
1977
Highly Cited
1977
The nonlinear least-squares minimization problem is considered. Algorithms for the numerical solution of this problem have been… Expand
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