Results 81 to 90 of about 54,415 (225)

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   +1 more source

CSLM: Levenberg Marquardt based Back Propagation Algorithm Optimized with Cuckoo Search

Journal of ICT Research and Applications, 2014
Training an artificial neural network is an optimization task, since it is desired to find optimal weight sets for a neural network during training process.
Nazri Mohd. Nawi, Abdullah Khan, M. Z. Rehman   +2 more
doaj   +1 more source

An online self-adaptive RBF network algorithm based on the Levenberg-Marquardt algorithm

Applied Artificial Intelligence, 2022
Aiming at the problem that the Levenberg-Marquardt (LM) algorithm can not train online radial basis function (RBF) neural network and the deficiency in the RBF network structure design methods, this paper proposes an online self-adaptive algorithm for ...
ZhaoZhao Zhang, Yue Liu, YingQin Zhu, XiaoFei Zhao   +3 more
doaj   +1 more source

Single‐Breathhold 3D MR Elastography in the Liver, With Simultaneous R2* and PDFF Mapping

Magnetic Resonance in Medicine, EarlyView.
Purpose To develop a sequence for the rapid acquisition of MR elastography (MRE) parameters in 3D, with simultaneous measurement of proton‐density fat fraction (PDFF) and R2* for multiparametric assessment of liver disease. Methods The proposed sequence uses an interleaved motion‐encoding scheme to acquire 3D volumes of all motion encodings and wave ...
Donovan P Tripp, Anne‐Sophie van Schelt, Omar Darwish, Karl P Kunze, Shamsa Al Harthy, Nader S Metwalli, Ahmed M Gharib, Claudia Prieto, René M Botnar, Ralph Sinkus, Radhouene Neji   +10 more
wiley   +1 more source

Quantifying Dual‐Color Photopolymerization in Xolography via Raman Spectroscopy

Journal of Polymer Science, EarlyView.
A dual‐wavelength Raman spectroscopy workflow is presented for the quantitative assessment of dual‐color photoinitiators. Contrast and efficiency parameters are extracted from in situ curing curves and spatial Raman mapping is used to find inhomogeneities in printed objects.
Nele Lange, Torsten Döhler, Martin Herder, Yves Garmshausen, Friedhelm Heinrich, Christian Dreyer, Mandy Hofmann, Claus Villringer, Michael Herzog, Stefan Hecht, Martin Regehly   +10 more
wiley   +1 more source

An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision

Semina: Ciências Exatas e Tecnológicas, 2009
At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva, Marcela Hitomi Koyama, Maria Bernadete de Morais França, José Alexandre de França   +3 more
doaj  

Spatiotemporal Assessment of Groundwater Interactions With a Regulated River: A Case Study of the Nechako River, Canada

River Research and Applications, EarlyView.
ABSTRACT Regulated rivers represent complex hydrological systems where groundwater–surface water interactions are governed by natural conditions and human interventions. This study investigates the spatiotemporal dynamics of groundwater–surface water exchanges in the Nechako River, British Columbia (Canada), using numerical simulations.
Milad Fakhari, John Gray, Avery Dextrase, Andre St‐Hilaire, Richard Martel   +4 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm

Photonic Sensors, 2019
Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the maximum posteriori estimation,
Chan Huang, Feinan Chen, Yuyang Chang, Lin Han, Shuang Li, Jin Hong   +5 more
doaj   +1 more source

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source