Results 1 to 10 of about 5,083,495 (228)

A logistic-tent chaotic mapping Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot. [PDF]

Sci Rep
The 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, Deng Y, Liu Y, Chen L, Hu Z, Wei P, Li Z.   +6 more
europepmc   +3 more sources

Principle and Performance Analysis of the Levenberg–Marquardt Algorithm in WMS Spectral Line Fitting [PDF]

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, Pengpeng Wang, Tingting Zhang, Kun Li, Feng Peng, Cunguang Zhu   +5 more
doaj   +2 more sources

Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks

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, Shisheng Zhong, Lin Lin, Zhiquan Cui   +3 more
doaj   +2 more sources

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

IEEE 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   +2 more sources

Distributed localization using Levenberg-Marquardt algorithm

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, Anders Hansson, Sina Khoshfetrat Pakazad   +2 more
doaj   +2 more sources

Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm. [PDF]

Sensors (Basel), 2017
This paper presents a novel method for diagnosing incipient bearing defects under variable operating speeds using convolutional neural networks (CNNs) trained via the stochastic diagonal Levenberg-Marquardt (S-DLM) algorithm.
Tra V, Kim J, Khan SA, Kim JM.
europepmc   +2 more sources

Parameters Identification for Lithium-Ion Battery Models Using the Levenberg–Marquardt Algorithm

World Electric Vehicle Journal
The increasing adoption of batteries in a variety of applications has highlighted the necessity of accurate parameter identification and effective modeling, especially for lithium-ion batteries, which are preferred due to their high power and energy ...
Ashraf Alshawabkeh, Mustafa Matar, Fayha Almutairy   +2 more
doaj   +2 more sources

An improved magnetometer calibration and compensation method based on Levenberg–Marquardt algorithm for multi-rotor unmanned aerial vehicle

Measurement + Control, 2020
In order to improvethe yaw angle accuracy of multi-rotor unmanned aerial vehicle and meet the requirement of autonomous flight, a new calibration and compensation method for magnetometer based on Levenberg–Marquardt algorithm is proposed in this paper. A
Helong Wu, Xinbiao Pei, Jihui Li, Huibin Gao, Yue Bai   +4 more
doaj   +2 more sources

Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO. [PDF]

Sci Rep
To 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

Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm

Journal of Materials Research and Technology, 2021
In this study, we have obtained the corresponding relationship between SLM-NiTi alloy transition temperatures and energy density, and realized the accurate prediction and inverse prediction of SLM process parameters and NiTi alloy transition temperatures.
Zhenglei Yu, Zezhou Xu, Ruiyao Liu, Renlong Xin, Lunxiang Li, Lixin Chen, Pengwei Sha, Wanqing Li, Yining Zhu, Yunting Guo, Jiale Zhao, Zhihui Zhang, Luquan Ren   +12 more
doaj   +2 more sources