Results 21 to 30 of about 55,329 (202)

Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements

open access: yesAlgorithms, 2016
Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) with finitely many elements. Based on a new stochastic linear complementarity problem function, a new semi-smooth least squares reformulation of the ...
Zhimin Liu, Shouqiang Du, Ruiying Wang
doaj   +1 more source

Fast Calculation Method for Continuous Power Flow of Microgrid Based on Levenberg-Marquardt Algorithm

open access: yesIEEE Access, 2023
There are possible non-convergence problems at load power critical value while using conventional continuous power flow methods. Generally, the step control method is used in the calculation to perform the calculation in small steps at the convergence to
Yi Zhou, Junhong Zhang, Wei Gao
doaj   +1 more source

Angle-resolved X-ray photoelectron spectroscopy (ARXPS) and a modified Levenberg-Marquardt fit procedure: a new combination for modeling thin layers [PDF]

open access: yes, 1990
The combination of angle-resolved X-ray photoelectron spectroscopy (ARXPS) and a modified Levenberg-Marquardt (LM) fit procedure has been used to study a native oxide layer on a clean Si(100) substrate.
Aarnink, W.A.M.   +2 more
core   +2 more sources

Polarization Voltage Characterization of Lithium-Ion Batteries Based on a Lumped Diffusion Model and Joint Parameter Estimation Algorithm

open access: yesEnergies, 2022
Polarization is a universal phenomenon that occurs inside lithium-ion batteries especially during operation, and whether it can be accurately characterized affects the accuracy of the battery management system. Model-based approaches are commonly adopted
Bizhong Xia, Bo Ye, Jianwen Cao
doaj   +1 more source

Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment

open access: yesFrontiers in Public Health, 2022
PurposeThis study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study.MethodsThe ...
H. O. Tekin   +10 more
doaj   +1 more source

Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation

open access: yesPetroleum 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
doaj   +1 more source

Ultrasound Probe Calibration Method of Single-Wire Phantom Using Levenberg-Marquardt Algorithm

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023
A freehand three-dimensional (3D) ultrasound system is a method of acquiring images using a 3D ultrasound probe or conventional two-dimensional (2D) ultrasound probe to give a 3D visualization of an object inside the body.
Tri Arief Sardjono   +5 more
doaj   +1 more source

Neural network training acceleration using NVIDIA CUDA technology for image recognition

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012
In this paper, an implementation of neural network trained by algorithm based on Levenberg-Marquardt method is presented. Training of neural network increased by almost 9 times using NVIDIA CUDA technology.
Alexander A Fertsev
doaj   +3 more sources

Performance Evaluation of Bundle Adjustment with Population Based Optimization Algorithms Applied to Panoramic Image Stitching

open access: yesSensors, 2021
The image stitching process is based on the alignment and composition of multiple images that represent parts of a 3D scene. The automatic construction of panoramas from multiple digital images is a technique of great importance, finding applications in ...
Maria Júlia R. Aguiar   +4 more
doaj   +1 more source

Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]

open access: yes, 2009
Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida   +27 more
core   +1 more source

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