Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a …
In the present investigation, an integrated numerical computing through neural networks
which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for …
which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for …
Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks …
Recently, the applications of artificial intelligence through soft computing and machine
learning algorithms have become the focal point of researcher's consideration on account of …
learning algorithms have become the focal point of researcher's consideration on account of …
Stochastic numerical computing for entropy optimized of Darcy-Forchheimer nanofluid flow: Levenberg Marquardt Algorithm
The work in hand examines the entropy generation of magnetohydrodynamic Darcy-
Forchheimer nanofluid flow model (MHD-DFNM) over a stretched surface via Artificial back …
Forchheimer nanofluid flow model (MHD-DFNM) over a stretched surface via Artificial back …
Neuro-computing for hall current and MHD effects on the flow of micro-polar nano-fluid between two parallel rotating plates
The present works focus on the effects of electric and magnetic fields on the flow of micro-
polar nano-fluid between two parallel plates with rotation under the impact of Hall current …
polar nano-fluid between two parallel plates with rotation under the impact of Hall current …
[HTML][HTML] Backpropagation of Levenberg Marquardt artificial neural networks for wire coating analysis in the bath of Sisko fluid
JL Aljohani, ES Alaidarous, MAZ Raja… - Ain Shams Engineering …, 2021 - Elsevier
In the artificial neural networks domain, the Levenberg-Marquardt technique is novel with
convergent stability and generates a numerical solution of the wire coating system for Sisko …
convergent stability and generates a numerical solution of the wire coating system for Sisko …
Intelligent computing through neural networks for numerical treatment of non-Newtonian wire coating analysis model
In the current study, a modern implementation of intelligent numerical computational solver
introduced using the Levenberg Marquardt algorithm based trained neural networks (LMA …
introduced using the Levenberg Marquardt algorithm based trained neural networks (LMA …
[HTML][HTML] Electroosmosis oriented flow of Jeffrey viscoelastic model through scraped surface heat exchanger
Scraped surface heat exchanger (SSHE) is vibrantly utilized in various industries. The heat
exchanger devices play pivotal role in the energy transfer phenomenon between the fluids …
exchanger devices play pivotal role in the energy transfer phenomenon between the fluids …
A Levenberg–Marquardt backpropagation neural network for the numerical treatment of squeezing flow with heat transfer model
In this paper, the computational strength in terms of soft computing neural networks
backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented …
backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented …
A design of neural networks to study mhd and heat transfer in two phase model of nano-fluid flow in the presence of thermal radiation
The main objective of research is to design a numerical computational solver based two-
layers structure of backpropagation Levenberg-Marquardt scheme with artificial neural …
layers structure of backpropagation Levenberg-Marquardt scheme with artificial neural …
Optimization through the Levenberg—Marquardt backpropagation method for a magnetohydrodynamic squeezing flow system
The present study introduced the unsteady squeezing flow of two-dimensional viscous fluid
with nanoparticles between two disks by using the Levenberg–Marquardt backpropagated …
with nanoparticles between two disks by using the Levenberg–Marquardt backpropagated …