Results 11 to 20 of about 5,083,495 (228)
Ferromagnetic mass localization in check point configuration using a levenberg marquardt algorithm. [PDF]
Sensors (Basel), 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
Alimi R, Geron N, Weiss E, Ram-Cohen T.
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Improved Kalman Filtering Algorithm Based on Levenberg-Marquart Algorithm in Ultra-Wideband Indoor Positioning. [PDF]
Sensors (Basel)To 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-
Xie C, Fang X, Yang X.
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A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting.
M. Haring +4 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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Journal of Artificial Intelligence and Soft Computing Research, 2023 This paper presents a parallel approach to the Levenberg-Marquardt algorithm (LM). The use of the Levenberg-Marquardt algorithm to train neural networks is associated with significant computational complexity, and thus computation time. As a result, when
J. Bilski +4 more
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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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IEEE Transactions on Instrumentation and Measurement, 2023 Robots facilitate a critical category of equipment to implement intelligent production. However, due to extensively inevitable factors like structural errors and gear tolerances, the positioning error of an industrial robot is several millimeters ...
Zhibin Li, Shuai Li, Xin Luo
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Optimization of Levenberg Marquardt Algorithm Applied to Nonlinear Systems
Processes, 2023 As science and technology advance, industrial manufacturing processes get more complicated. Back Propagation Neural Network (BPNN) convergence is comparatively slower for processing nonlinear systems.
Xinyi Huang, Hao Cao, Bingjing Jia
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Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems [PDF]
Journal of Optimization Theory and Applications, 2020 The Levenberg–Marquardt algorithm is one of the most popular algorithms for finding the solution of nonlinear least squares problems. Across different modified variations of the basic procedure, the algorithm enjoys global convergence, a competitive ...
E. Bergou, Y. Diouane, V. Kungurtsev
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MODERN METHODS OF BUNDLE ADJUSTMENT ON THE GPU [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The task to compute 3D reconstructions from large amounts of data has become an active field of research within the last years. Based on an initial estimate provided by structure from motion, bundle adjustment seeks to find a solution that is optimal for
R. Hänsch, I. Drude, O. Hellwich
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