Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system
In the presented research study, the novel intelligence based numerical computation by
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
Dynamical analysis of nonlinear fractional order Lorenz system with a novel design of intelligent solution predictive radial base networks
In this research work, the convective flow of Lorenz attractor in the fractional domain is
modeled with a nonlinear flexible structure of radial basis neural network (RBNN). The …
modeled with a nonlinear flexible structure of radial basis neural network (RBNN). The …
Heat transfer between two porous parallel plates of steady nano fludis with Brownian and thermophoretic effects: A new stochastic numerical approach
The design of integrated numerical computing through back-propagated neural networks
with Levenberg-Marquard system (BNN-LMS) is presented to explore the fluid mechanics …
with Levenberg-Marquard system (BNN-LMS) is presented to explore the fluid mechanics …
Neuro-computational intelligence for numerical treatment of multiple delays SEIR model of worms propagation in wireless sensor networks
In this study, the dynamics of a nonlinear multiple delays susceptible, exposed, infected,
recovered (SEIR) model for worms propagation in wireless sensor networks (WSNs) …
recovered (SEIR) model for worms propagation in wireless sensor networks (WSNs) …
Intelligent Bayesian regularization networks for bio-convective nanofluid flow model involving gyro-tactic organisms with viscous dissipation, stratification and heat …
In the current study, a novel intelligent numerical computing paradigm based upon the
foundation of the artificial neural networks legacy involving the Bayesian regularization …
foundation of the artificial neural networks legacy involving the Bayesian regularization …
[HTML][HTML] Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer
In the presented research article, the intelligence based numerical computation of artificial
neural network backpropagated with Levenberg-Marquardt algorithm has been developed …
neural network backpropagated with Levenberg-Marquardt algorithm has been developed …
[HTML][HTML] Impact of thermal energy on MHD Casson fluid through a Forchheimer porous medium with inclined non-linear surface: A soft computing approach
In this work, the influence of thermal energy in term of heat source, thermal radiation and
chemical reaction on magneto hydrodynamic Casson fluid flow model (MHD-CFM) over a …
chemical reaction on magneto hydrodynamic Casson fluid flow model (MHD-CFM) over a …
Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating
The aim of study is to investigate the mass and heat transfer phenomena in hybrid hydro-
nanofluidic system involving Al 2 O 3–Cu–H 2 O over the rotating disk in porous medium …
nanofluidic system involving Al 2 O 3–Cu–H 2 O over the rotating disk in porous medium …
Intelligent computing with levenberg–marquardt backpropagation neural networks for third-grade nanofluid over a stretched sheet with convective conditions
This article discussed the influence of activation energy on MHD flow of third-grade
nanofluid model (MHD-TGNFM) along with the convective conditions and used the …
nanofluid model (MHD-TGNFM) along with the convective conditions and used the …
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 …