Results 1 to 10 of about 62,392 (177)
A logistic-tent chaotic mapping Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot. [PDF]
Sci RepThe precision of workpiece machining is critically influenced by the geometric errors in the kinematics of grind robots, which directly affect their absolute positioning accuracy.
Liu J +6 more
europepmc +2 more sources
Levenberg-Marquardt method for the eigenvalue complementarity problem. [PDF]
ScientificWorldJournal, 2014 The eigenvalue complementarity problem (EiCP) is a kind of very useful model, which is widely used in the study of many problems in mechanics, engineering, and economics.
Chen YY, Gao Y.
europepmc +2 more sources
Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning. [PDF]
Sci RepWatermarking is one of the crucial techniques in the domain of information security, preventing the exploitation of 3D Mesh models in the era of Internet.
Narendra M +3 more
europepmc +2 more sources
Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO. [PDF]
Sci RepTo 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 ...
Li D, Deng Y, Li Z.
europepmc +2 more sources
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
doaj +1 more source
AIMS Mathematics, 2022 The Levenberg-Marquardt method is one of the most important methods for solving systems of nonlinear equations and nonlinear least-squares problems. It enjoys a quadratic convergence rate under the local error bound condition.
Lin Zheng, Liang Chen, Yanfang Ma
doaj +1 more source
A New Modified Levenberg–Marquardt Method for Systems of Nonlinear Equations
Journal of Mathematics, 2023 Taking a new choice of the LM parameter λk=μkJkTFkδ with δ∈0,2, we give a new modified Levenberg–Marquardt method. Under the error bound condition c distw,S≤JwTFw which is weaker than the nonsingular of Jacobian Jw, we present that the new Levenberg ...
Liang Chen, Yanfang Ma
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source