Results 181 to 190 of about 5,083,495 (228)
Optimum Carbon Fiber Reinforced Polymer (CFRP) Design for Flexural Strengthening of Cantilever Concrete Walls Using Artificial Neural Networks. [PDF]
Polymers (Basel)Bekdaş G +3 more
europepmc +1 more source
Tensile Modeling PVC Gels for Electrohydraulic Actuators. [PDF]
Polymers (Basel)Faccinto JA, Lee J, Kim KJ.
europepmc +1 more source
Artificial Intelligence Control Methodologies for Shape Memory Alloy Actuators: A Systematic Review and Performance Analysis. [PDF]
Micromachines (Basel)Rodinò S +4 more
europepmc +1 more source
An Iterative Error Correction Procedure for Single Sheet Testers Using FEM 3D Model. [PDF]
Sensors (Basel)Krobot R, Dadić M.
europepmc +1 more source
Estimation of stationary and non-stationary moving average processes in the correlation domain. [PDF]
PLoS OneDodek M, Miklovičová E.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
semanticscholar +1 more source
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
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
semanticscholar +1 more source
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
Journal of the Electrochemical Society, 2022
Electrochemical impedance spectroscopy is attracting more attention due to an increasing production of power sources. One highly popular tool for diagnosing diverse power sources is distribution function of relaxation times (DRT), which has led to ...
M. Zic +5 more
semanticscholar +1 more source
Electrochemical impedance spectroscopy is attracting more attention due to an increasing production of power sources. One highly popular tool for diagnosing diverse power sources is distribution function of relaxation times (DRT), which has led to ...
M. Zic +5 more
semanticscholar +1 more source
Tensor Levenberg-Marquardt Algorithm for Multi-Relational Traffic Prediction
IEEE Transactions on Vehicular Technology, 2023Traffic prediction serves as a crucial role in intelligent transportation systems for applications including routing planning and traffic control. With the advances of sensor technologies and Internet of Things (IoTs), the exploitation of traffic data ...
S. Chang +3 more
semanticscholar +1 more source
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
semanticscholar +1 more source