# Levenberg–Marquardt algorithm

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2014

2014

- 2014

Mathematical Optimization refers to finding the minimum or maximum value from a desired set of outcomes. This paper discusses… (More)

Is this relevant?

2010

2010

- SEAL
- 2010

The Levenberg Marquardt (LM) algorithm is a popular nonlinear least squares optimization technique for solving data matching… (More)

Is this relevant?

2009

2009

- ICS
- 2009

This paper describes a parallel Levenberg-Marquardt algorithm that has been implemented as part of a larger system to support the… (More)

Is this relevant?

2009

2009

- IEEE International Symposium on Industrial…
- 2009

In automatic image mosaic, the problem of solving and optimizing the modeled image parameters is usually a least square problem… (More)

Is this relevant?

2006

2006

- IEEE Power India Conference
- 2006

This paper presents Levenberg Marquardt algorithm based multi-layer feed-forward neural network for economic load dispatch, which… (More)

Is this relevant?

Highly Cited

2005

Highly Cited

2005

- 2005

The Levenberg-Marquardt (LM) algorithm is an iterative technique that locates the minimum of a function that is expressed as the… (More)

Is this relevant?

Highly Cited

2004

Highly Cited

2004

- 2004

The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It outperforms simple gradient descent and… (More)

Is this relevant?

Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Neural Networks
- 2002

Although the Levenberg-Marquardt (LM) algorithm has been extensively applied as a neural-network training method, it suffers from… (More)

Is this relevant?

Highly Cited

2000

Highly Cited

2000

- IEEE Trans. Signal Processing
- 2000

The Levenberg—Marquardt algorithm is often superior to other training algorithms in off-line applications. This motivates the… (More)

Is this relevant?

Highly Cited

1994

Highly Cited

1994

- IEEE Trans. Neural Networks
- 1994

The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for… (More)

Is this relevant?