Results 21 to 30 of about 55,329 (202)
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
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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
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Angle-resolved X-ray photoelectron spectroscopy (ARXPS) and a modified Levenberg-Marquardt fit procedure: a new combination for modeling thin layers [PDF]
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
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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
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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
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Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation
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
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Ultrasound Probe Calibration Method of Single-Wire Phantom Using Levenberg-Marquardt Algorithm
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
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Neural network training acceleration using NVIDIA CUDA technology for image recognition
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
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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
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Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]
Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida +27 more
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