Results 11 to 20 of about 55,379 (247)

Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity [PDF]

open access: yesAdvances in Computational Mathematics, 2019
We describe and analyse Levenberg-Marquardt methods for solving systems of nonlinear equations. More specifically, we propose an adaptive formula for the Levenberg-Marquardt parameter and analyse the local convergence of the method under H\"{o}lder ...
Arag, F.J.   +4 more
core   +8 more sources

A Modified Levenberg-Marquardt Method for the Bidirectional Relay Channel [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2014
This paper presents an optimization approach for a system consisting of multiple bidirectional links over a two-way amplify-and-forward relay. It is desired to improve the fairness of the system. All user pairs exchange information over one relay station
Ascheid, Gerd   +2 more
core   +2 more sources

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method. [PDF]

open access: yesJ Healthc Eng, 2021
A high-accuracy gait data prediction model can be used to design prosthesis and orthosis for people having amputations or ailments of the lower limb. The objective of this study is to observe the gait data of different subjects and design a neural network to predict future gait angles for fixed speeds. The data were recorded via a Biometrics goniometer,
Alharbi A   +4 more
europepmc   +4 more sources

The Levenberg–Marquardt Method for Acousto-Electric Tomography on Different Conductivity Contrast

open access: yesApplied Sciences, 2020
The stability and convergence performance of Levenberg–Marquardt method for acousto-electric tomography (AET) applied to different levels of conductivity contrast is studied in this paper. As a multi-physical imaging modality, acousto-electric tomography
Changyou Li, Kang An, Kuisong Zheng
doaj   +1 more source

Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System

open access: yesComplexity, 2021
In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system.
Run-Min Hou   +3 more
doaj   +1 more source

Model and Simulation of COVID-19 Transmission with Vaccination and Quarantine Interventions in Jember

open access: yesInPrime, 2023
In this study, we model the transmission of COVID-19 by considering vaccination and quarantine interventions. The focus of our study is to measure the effect of these two interventions on controlling the spread of COVID-19.
Faizal Rifky Fahreza   +2 more
doaj   +1 more source

A Levenberg-Marquardt Method for Tensor Approximation

open access: yesSymmetry, 2023
This paper presents a tensor approximation algorithm, based on the Levenberg–Marquardt method for the nonlinear least square problem, to decompose large-scale tensors into the sum of the products of vector groups of a given scale, or to obtain a low-rank tensor approximation without losing too much accuracy.
Jinyao Zhao, Xuejuan Zhang, Jinling Zhao
openaire   +1 more source

Nonsynchronous Rotor Blade Vibrations in Last Stage of 380 MW LP Steam Turbine at Various Condenser Pressures

open access: yesApplied Sciences, 2022
This paper presents an analysis of nonsynchronous rotor blade vibrations in the last stage of an LP steam turbine at various condenser pressures. The nonlinear least squares Levenberg–Marquardt method is used in a tip-timing analysis to determine ...
Romuald Rzadkowski   +4 more
doaj   +1 more source

Levenberg-Marquardt vs Powell's dogleg method for Gurson-Tvergaard-Needleman plasticity model [PDF]

open access: yes, 2012
The GTN continuous damage model is very popular in academia and industry for structural integrity assessment and ductile fracture simulation. Following Aravas' influential 1987 paper, Newton's method has been used widely to solve the GTN equations ...
Alexander, N. A., Shterenlikht, A.
core   +2 more sources

Acceleration of Levenberg-Marquardt Training of Neural Networks with Variable Decay Rate [PDF]

open access: yes, 2003
In the application of the standard Levenherg-Marquardt training process of neural networks, error oscillations are frequently observed and they usually aggravate on approaching the required accuracy.
Au, FTK, Chen, TC, Han, DJ, Tham, LG
core   +1 more source

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