Results 71 to 80 of about 63,095 (231)

Stochastic computing with Levenberg–Marquardt neural networks for the study of radiative transportation phenomena in three-dimensional Carreau nanofluid model subjected to activation energy and porous medium

Chemical Engineering Journal Advances
The objective of this research is to establish the modelling and evaluation of a differential mathematical system for the radiated Carreau nanofluid model (RCNFM) by exploiting the skills of stochastic computing with Levenberg–Marquardt neural networks ...
Zahoor Shah, Muhammad Asif Zahoor Raja, Faisal Shahzad, Muhammad Waqas, Fahad Alblehai, Sameer Nooh, Sajjad Shaukat Jamal, Nurnadiah Zamri, Shaxnoza Saydaxmetova, Abdelaziz Nasr   +9 more
doaj   +1 more source

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training

, 2018
Neural network models for dynamic systems can be trained either in parallel or in series-parallel configurations. Influenced by early arguments, several papers justify the choice of series-parallel rather than parallel configuration claiming it has a ...
Aguirre, Luis A., Ribeiro, Antônio H.
core   +1 more source

GEE-Levenberg-Marquardt-Method

, 2022
this method allows you to fit nonlinear model by Levenberg–Marquardt algorithms on the Google Earth Engine ...
openaire   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

Application of Levenberg-Marquardt backpropagation algorithm to the Yamada-Ota model for thermal study of a TiO2-SiO2/Hexanol hybrid fluid: A heat transfer system

Case Studies in Thermal Engineering
Levenberg-Marquardt backpropagation has emerged as a powerful method in the field of heat transfer, despite its original use in the training of artificial neural networks.
Nidhi N. Pai, K. Preethi Salian, K.R. Vasanth, K. Ganesh Kumar   +3 more
doaj   +1 more source

Splitting methods with variable metric for KL functions

, 2013
We study the convergence of general abstract descent methods applied to a lower semicontinuous nonconvex function f that satisfies the Kurdyka-Lojasiewicz inequality in a Hilbert space.
Frankel, Pierre, Garrigos, Guillaume, Peypouquet, Juan   +2 more
core   +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

Neural network training acceleration using NVIDIA CUDA technology for image recognition

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012
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
doaj   +3 more sources

A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems

, 2003
Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved.
Abraham, Ajith, Jain, Lakhmi, Tran, Cong
core   +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