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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

Is Levenberg-Marquardt the most efficient optimization algorithm for implementing bundle adjustment?

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

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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