Results 181 to 190 of about 54,005 (235)

Artificial Intelligence Control Methodologies for Shape Memory Alloy Actuators: A Systematic Review and Performance Analysis. [PDF]

Micromachines (Basel)
Rodinò S, Rota G, Chiodo M, Corigliano A, Maletta C.   +4 more
europepmc   +1 more source

An Iterative Error Correction Procedure for Single Sheet Testers Using FEM 3D Model. [PDF]

Sensors (Basel)
Krobot R, Dadić M.
europepmc   +1 more source

Estimation of stationary and non-stationary moving average processes in the correlation domain. [PDF]

PLoS One
Dodek M, Miklovičová E.
europepmc   +1 more source

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A parallel levenberg-marquardt algorithm

Proceedings of the 23rd international conference on Supercomputing, 2009
This paper describes a parallel Levenberg-Marquardt algorithm that has been implemented as part of a larger system to support the kinetic modeling of polymer chemistry. The Levenberg-Marquardt algorithm finds a local minimum of a function by varying parameters of the function.
Cao, Jun, Novstrup, Krista A., Goyal, Ayush, Midkiff, Samuel P., Caruthers, James M.   +4 more
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A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization

Operations Research Letters, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fischer, Andreas, Shukla, Pradyumn K.
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Nonmonotone Levenberg–Marquardt Algorithms and Their Convergence Analysis

Journal of Optimization Theory and Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, J. Z., Chen, L. H.
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Convergence analysis of a subsampled Levenberg-Marquardt algorithm

Operations Research Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganchen Xing, Jian Gu, Xiantao Xiao
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A smoothing Levenberg–Marquardt algorithm for semi-infinite programming

Computational Optimization and Applications, 2014
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Jin, Ping, Ling, Chen, Shen, Huifei
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Levenberg Marquardt algorithm based economic load dispatch

2006 IEEE Power India Conference, 2006
This paper presents Levenberg Marquardt algorithm based multi-layer feed-forward neural network for economic load dispatch, which is trained to provide the optimal value of lambda and economic generation allocation on all the committed generating units for a given power demand. Since the training of the ANN is extremely fast, it may be used for on-line
null Krishna Teerth Chaturvedi, null Laxmi Srivastava, null Manjaree Pandit   +2 more
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Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation

2017
This paper presents a new parallel architecture of the Leven-berg-Marquardt (LM) algorithm for training fully connected feedforward neural networks, which will also work for MLP but some cells will stay empty. This approach is based on a very interesting idea of learning neural networks without error backpropagation. The presented architecture is based
Jarosław Bilski, Bogdan M. Wilamowski
openaire   +1 more source