Results 21 to 30 of about 54,005 (235)

Direct 3D Tomographic Reconstruction and Phase-Retrieval of Far-Field Coherent Diffraction Patterns [PDF]

open access: yes, 2019
We present an alternative numerical reconstruction algorithm for direct tomographic reconstruction of a sample refractive indices from the measured intensities of its far-field coherent diffraction patterns.
Andersen, Martin Skovgaard   +3 more
core   +2 more sources

Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation

open access: yesPetroleum Exploration and Development, 2016
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
doaj   +1 more source

A Novel Fuzzy Controller for Visible-Light Camera Using RBF-ANN: Enhanced Positioning and Autofocusing

open access: yesSensors, 2022
To obtain high-precision for focal length fitting and improve the visible-light camera autofocusing speed, simultaneously, the backlash caused by gear gaps is eliminated.
Junpeng Zhou   +4 more
doaj   +1 more source

Optimization of LMBP high-speed railway wheel size prediction algorithm based on improved adaptive differential evolution algorithm

open access: yesInternational Journal of Distributed Sensor Networks, 2019
It is beneficial for maintenance department to make maintenance strategy and reduce maintenance cost to forecast the hidden danger index value. Based on the analysis of the research status of wheel-to-life prediction at home and abroad and the repair of ...
Yu Zhang   +3 more
doaj   +1 more source

Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity [PDF]

open access: yes, 2019
We describe and analyse Levenberg-Marquardt methods for solving systems of nonlinear equations. More specifically, we propose an adaptive formula for the Levenberg-Marquardt parameter and analyse the local convergence of the method under H\"{o}lder ...
Arag, F.J.   +4 more
core   +4 more sources

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

open access: yesIEEE 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   +1 more source

Fitting sediment rating curves using regression analysis: a case study of Russian Arctic rivers [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2015
Published suspended sediment data for Arctic rivers is scarce. Suspended sediment rating curves for three medium to large rivers of the Russian Arctic were obtained using various curve-fitting techniques.
N. I. Tananaev
doaj   +1 more source

Comparison methods of short term electrical load forecasting

open access: yesMATEC Web of Conferences, 2018
The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
doaj   +1 more source

A smoothing Levenberg-Marquardt algorithm for linear weighted complementarity problem

open access: yesAIMS Mathematics, 2023
In this paper, we consider the solution of linear weighted complementarity problem (denoted by LWCP). Firstly, we introduce a new class of weighted complementary functions and show that its continuously differentiable.
Panjie Tian, Zhensheng Yu , Yue Yuan
doaj   +1 more source

Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]

open access: yes, 2009
Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida   +27 more
core   +1 more source

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