Levenberg‐Marquardt backpropagation algorithm for parameter identification of solid oxide fuel cells
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Energy Research"
DOI: 10.1002/er.6929
Abstract: Fast and precise identification of several unknown parameters for solid oxide fuel cell (SOFC) models play a critical role in modeling analysis, optimal control, and behavior prediction. However, inherent high‐nonlinear, multi‐variable, and strongly coupled features… read more here.
Keywords: parameter identification; levenberg marquardt; solid oxide; oxide fuel ... See more keywords
Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model
Sign Up to like & getrecommendations! Published in 2021 at "Engineering With Computers"
DOI: 10.1007/s00366-021-01427-2
Abstract: The present investigations are related to design an integrated computing numerical approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), i.e., LMB-NNs. The designed LMB-NNs approach is presented to solve the fourth-order nonlinear system of Emden–Fowler… read more here.
Keywords: marquardt backpropagation; levenberg marquardt; lmb nns; solve fourth ... See more keywords
Local convergence of the Levenberg–Marquardt method under Hölder metric subregularity
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-019-09708-7
Abstract: 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 Hölder metric subregularity… read more here.
Keywords: levenberg marquardt; local convergence; lder;
A smoothing Levenberg-Marquardt method for nonlinear complementarity problems
Sign Up to like & getrecommendations! Published in 2018 at "Numerical Algorithms"
DOI: 10.1007/s11075-018-0485-3
Abstract: As is well-known, Jacobian smoothing method is a popular one to solve nonlinear complementarity problems, in which the Jacobian consistency is stressed. By investigating an element of related functions’ B-differential, a smoothing Levenberg-Marquardt(LM) method is… read more here.
Keywords: levenberg marquardt; complementarity problems; nonlinear complementarity; marquardt method ... See more keywords
On Stable Parameter Estimation and Forecasting in Epidemiology by the Levenberg-Marquardt Algorithm with Broyden's Rank-one Updates for the Jacobian Operator.
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of mathematical biology"
DOI: 10.1007/s11538-019-00650-9
Abstract: Rigorously calibrating dynamic models with time-series data can pose roadblocks. Oftentimes, the problem is ill-posed and one has to rely on appropriate regularization techniques to ensure stable parameter estimation from which forward projections with quantified… read more here.
Keywords: levenberg marquardt; parameter estimation; epidemiology; parameter ... See more keywords
Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Photonic Sensors"
DOI: 10.1007/s13320-019-0571-8
Abstract: Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the… read more here.
Keywords: levenberg marquardt; spectral deconvolution; method; adaptive operator ... See more keywords
Identification of piecewise constant Robin coefficient for the Stokes problem using the Levenberg–Marquardt method
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-020-01199-3
Abstract: In this work, we prove the quadratic convergence of the Levenberg–Marquardt method for the inverse problem of identifying a Robin coefficient for the Stokes system, where we suppose that this parameter is piecewise constant on… read more here.
Keywords: levenberg marquardt; piecewise constant; marquardt method; robin coefficient ... See more keywords
Optimal parameterization of COVID-19 epidemic models
Sign Up to like & getrecommendations! Published in 2020 at "Atmospheric and Oceanic Science Letters"
DOI: 10.1016/j.aosl.2020.100024
Abstract: At the time of writing, coronavirus disease 2019 (COVID-19) is seriously threatening human lives and health throughout the world. Many epidemic models have been developed to provide references for decision-making by governments and the World… read more here.
Keywords: levenberg marquardt; optimal parameterization; covid; model ... See more keywords
State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.04.085
Abstract: Abstract State of charge (SOC) is one of the most critical parameters for indication of the remaining energy which is vital important for the safety and reliability of power system. In this paper, Levenberg-Marquardt (L-M)… read more here.
Keywords: levenberg marquardt; state charge; estimation; network ... See more keywords
A hybrid genetic-Levenberg Marquardt algorithm for automated spectrometer design optimization.
Sign Up to like & getrecommendations! Published in 2019 at "Ultramicroscopy"
DOI: 10.1016/j.ultramic.2019.03.004
Abstract: Advancements in computational tools have driven increasingly automated, simulation-centric approaches in the design and optimization of spectroscopic electron-optical systems. These augmented methodologies accelerate the optimization process, and can yield better-performing instruments. While classical gradient-based methods… read more here.
Keywords: design optimization; optimization; levenberg marquardt; spectrometer design ... See more keywords
An efficient Levenberg–Marquardt method with a new LM parameter for systems of nonlinear equations
Sign Up to like & getrecommendations! Published in 2018 at "Optimization"
DOI: 10.1080/02331934.2018.1435655
Abstract: Abstract A modified Levenberg–Marquardt method for solving singular systems of nonlinear equations was proposed by Fan [J Comput Appl Math. 2003;21;625–636]. Using trust region techniques, the global and quadratic convergence of the method were proved.… read more here.
Keywords: levenberg marquardt; marquardt method; nonlinear equations; systems nonlinear ... See more keywords