Results 181 to 190 of about 5,452,386 (223)
AKAZE-GMS-PROSAC: A New Progressive Framework for Matching Dynamic Characteristics of Flotation Foam. [PDF]
J ImagingPeng Z, Jiang Z, Zhu P, Cai G, Luo X.
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International Journal of Robust and Nonlinear Control, 2021
This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data are filtered.
Yan Ji, Zhen Kang, Ximei Liu
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This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data are filtered.
Yan Ji, Zhen Kang, Ximei Liu
semanticscholar +1 more source
Applied Radiation and Isotopes, 2023
In recent developments, artificial neural networks (ANNs) have demonstrated their capability to predict reaction cross-sections based on experimental data.
H. Özdoğan +3 more
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In recent developments, artificial neural networks (ANNs) have demonstrated their capability to predict reaction cross-sections based on experimental data.
H. Özdoğan +3 more
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Applied Radiation and Isotopes, 2022
Prediction of neutron-induced reaction cross-sections at around the 14.5 MeV neutron energy is crucial to calculate nuclear transmutation rates, nuclear heating, and radiation damage from gas formation in fusion reactor technology In this research, the ...
H. Özdoğan +3 more
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Prediction of neutron-induced reaction cross-sections at around the 14.5 MeV neutron energy is crucial to calculate nuclear transmutation rates, nuclear heating, and radiation damage from gas formation in fusion reactor technology In this research, the ...
H. Özdoğan +3 more
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IEEE Transactions on Neural Networks and Learning Systems, 2020
The Levenberg–Marquardt and Newton are two algorithms that use the Hessian for the artificial neural network learning. In this article, we propose a modified Levenberg–Marquardt algorithm for the artificial neural network learning containing the training
José de Jesús Rubio
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The Levenberg–Marquardt and Newton are two algorithms that use the Hessian for the artificial neural network learning. In this article, we propose a modified Levenberg–Marquardt algorithm for the artificial neural network learning containing the training
José de Jesús Rubio
semanticscholar +1 more source
International Communications in Heat and Mass Transfer, 2021
In this paper for the first time, the Levenberg-Marquardt (LM) algorithm assisted by a fuzzy method is presented to solve an inverse heat transfer problem.
R. Sajedi, J. Faraji, F. Kowsary
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In this paper for the first time, the Levenberg-Marquardt (LM) algorithm assisted by a fuzzy method is presented to solve an inverse heat transfer problem.
R. Sajedi, J. Faraji, F. Kowsary
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Fast and Sensitive Non-Unit Protection Method for HVDC Grids using Levenberg-Marquardt Algorithm
IEEE transactions on industrial electronics (1982. Print), 2021High voltage DC (HVDC) grids have raised high-speed operation and high reliability requirement for relay protection. This paper aims at proposing a protection scheme with high operation speed, high sensitivity, and high reliability. Firstly, the symbolic
Chenhao Zhang +3 more
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Coupling Matrix Diagnosis by the Levenberg–Marquardt Algorithm With Homotopy Continuation
IEEE transactions on microwave theory and techniquesThis article introduces a novel coupling matrix diagnosis technique based on the Levenberg–Marquardt algorithm (LMA). Unlike many existing coupling matrix extraction approaches that involve fitting measurement or simulation data with rational functions ...
Ping Zhao
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, 2020
Adding small amounts of drag-reducing agents (DRA) to the crude oil can effectively reduce energy losses and its associated pressure drop in transportation pipelines. They do their roles by reducing the turbulent friction factor of the flowing liquids in
H. Moayedi +4 more
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Adding small amounts of drag-reducing agents (DRA) to the crude oil can effectively reduce energy losses and its associated pressure drop in transportation pipelines. They do their roles by reducing the turbulent friction factor of the flowing liquids in
H. Moayedi +4 more
semanticscholar +1 more source
, 2020
The Levenberg-Marquardt algorithm (LMA) is generally used to solve diverse complex nonlinear least square (CNLS) problems and is one of the most used algorithms to extract equivalent electrochemical circuit (EEC) parameters from electrochemical impedance
M. Zic +3 more
semanticscholar +1 more source
The Levenberg-Marquardt algorithm (LMA) is generally used to solve diverse complex nonlinear least square (CNLS) problems and is one of the most used algorithms to extract equivalent electrochemical circuit (EEC) parameters from electrochemical impedance
M. Zic +3 more
semanticscholar +1 more source