Results 11 to 20 of about 55,329 (202)
The Levenberg–Marquardt Method for Acousto-Electric Tomography on Different Conductivity Contrast
Applied 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
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System
Complexity, 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
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InPrime, 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
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Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity [PDF]
, 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
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Applied 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
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Levenberg-Marquardt vs Powell's dogleg method for Gurson-Tvergaard-Needleman plasticity model [PDF]
, 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.
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Acceleration of Levenberg-Marquardt Training of Neural Networks with Variable Decay Rate [PDF]
, 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
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IEEE Access, 2021 This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s ...
Ha Xuan Nguyen +5 more
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Fitting Nonlinear Equations with the Levenberg–Marquardt Method on Google Earth Engine
Remote Sensing, 2022 Google Earth Engine (GEE) has been widely used to process geospatial data in recent years. Although the current GEE platform includes functions for fitting linear regression models, it does not have the function to fit nonlinear models, limiting the GEE ...
Shujian Wang +3 more
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Direct 3D Tomographic Reconstruction and Phase-Retrieval of Far-Field Coherent Diffraction Patterns [PDF]
, 2019 We present an alternative numerical reconstruction algorithm for direct tomographic reconstruction of a sample refractive indices from the measured intensities of its far-field coherent diffraction patterns.
Andersen, Martin Skovgaard +3 more
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