Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks [PDF]
Mathematics, 2021 Engineering data are often highly nonlinear and contain high-frequency noise, so the Levenberg–Marquardt (LM) algorithm may not converge when a neural network optimized by the algorithm is trained with engineering data.
Zhiqi Yan +3 more
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Distributed localization using Levenberg-Marquardt algorithm [PDF]
EURASIP Journal on Advances in Signal Processing, 2021 In this paper, we propose a distributed algorithm for sensor network localization based on a maximum likelihood formulation. It relies on the Levenberg-Marquardt algorithm where the computations are distributed among different computational agents using ...
Shervin Parvini Ahmadi +2 more
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Efficient ptychographic phase retrieval via a matrix-free Levenberg-Marquardt algorithm. [PDF]
Opt Express, 2021 The phase retrieval problem, where one aims to recover a complex-valued image from far-field intensity measurements, is a classic problem encountered in a range of imaging applications. Modern phase retrieval approaches usually rely on gradient descent methods in a nonlinear minimization framework.
Kandel S +5 more
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A logistic-tent chaotic mapping Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot [PDF]
Scientific ReportsThe precision of workpiece machining is critically influenced by the geometric errors in the kinematics of grind robots, which directly affect their absolute positioning accuracy.
Jian Liu +6 more
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Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO [PDF]
Scientific ReportsTo improve robotic positioning accuracy and enhance overall manufacturing precision, this paper proposes an adaptive momentum Levenberg–Marquardt cascaded B-spline interpolation particle swarm optimization (AMLM-BIPSO) algorithm for calibrating robotic ...
Dong Li, Yonghong Deng, Zhibin Li
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Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation
The Journal of Engineering, 2019 With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To
Tao Zhou +4 more
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Levenberg-Marquardt Algorithm for Mackey-Glass Chaotic Time Series Prediction [PDF]
Discrete Dynamics in Nature and Society, 2014 For decades, Mackey-Glass chaotic time series prediction has attracted more and more attention. When the multilayer perceptron is used to predict the Mackey-Glass chaotic time series, what we should do is to minimize the loss function.
Junsheng Zhao +3 more
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Ferromagnetic Mass Localization in Check Point Configuration Using a Levenberg Marquardt Algorithm [PDF]
Sensors, 2009 A detection and tracking algorithm for ferromagnetic objects based on a two stage Levenberg Marquardt Algorithm (LMA) is presented. The procedure is applied to localization and magnetic moment estimation of ferromagnetic objects moving in the vicinity of
Tsuriel Ram-Cohen +3 more
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Improved Kalman Filtering Algorithm Based on Levenberg–Marquart Algorithm in Ultra-Wideband Indoor Positioning [PDF]
SensorsTo improve the current indoor positioning algorithms, which have insufficient positioning accuracy, an ultra-wideband (UWB) positioning algorithm based on the Levenberg–Marquardt algorithm with improved Kalman filtering is proposed. An alternative double-
Changping Xie, Xinjian Fang, Xu Yang
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Principle and Performance Analysis of the Levenberg–Marquardt Algorithm in WMS Spectral Line Fitting
Photonics, 2022 Calibration-free wavelength modulation spectroscopy (WMS) is an efficient technique for trace gas monitoring. It is widely used due to its resistance to light intensity fluctuations, strong suppression of low-frequency noise, fast response time, and ...
Yongjie Sun +5 more
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