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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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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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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Causative factors of construction and demolition waste generation in Iraq Construction Industry [PDF]
, 2021 The construction industry has hurt the environment from the waste generated during construction activities. Thus, it calls for serious measures to determine the causative factors of construction waste generated.
Obaid, Maytham Kadhim
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Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation
Petroleum Exploration and Development, 2016 In order to estimate reservoir parameters more effectively by history fitting, DE (Differential Evolution) was proposed to estimate the optimum damping factor so that the standard Levenberg-Marquardt algorithm was improved, and the improved algorithm was
Xian ZHANG, A A AWOTUNDE
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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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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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A Comparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System
IEEE Access, 2021 In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in maximum power point tracking (MPPT) energy harvesting in solar photovoltaic (PV ...
Rajib Baran Roy +9 more
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