Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet
This research investigates the heat and mass transfer in 3-D MHD radiative flow of water
based hybrid nanofluid over an extending sheet by employing the strength of numerical …
based hybrid nanofluid over an extending sheet by employing the strength of numerical …
Stochastic numerical investigations for nonlinear three-species food chain system
Z Sabir - International Journal of Biomathematics, 2022 - World Scientific
In this work, three-dimensional nonlinear food chain system is numerically treated using the
computational heuristic framework of artificial neural networks (ANNs) together with the …
computational heuristic framework of artificial neural networks (ANNs) together with the …
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
Background: Mathematical modeling of vector-borne diseases and forecasting of epidemics
outbreak are global challenges and big point of concern worldwide. The outbreaks depend …
outbreak are global challenges and big point of concern worldwide. The outbreaks depend …
MHD boundary layer flow over a stretching sheet: A new stochastic method
H Ullah, I Khan, M Fiza, NN Hamadneh… - Mathematical …, 2021 - Wiley Online Library
In this study, a new computing model is developed using the strength of feed‐forward neural
networks with the Levenberg–Marquardt scheme‐based backpropagation technique (NN …
networks with the Levenberg–Marquardt scheme‐based backpropagation technique (NN …
A stochastic intelligent computing with neuro-evolution heuristics for nonlinear SITR system of novel COVID-19 dynamics
The present study aims to design stochastic intelligent computational heuristics for the
numerical treatment of a nonlinear SITR system representing the dynamics of novel …
numerical treatment of a nonlinear SITR system representing the dynamics of novel …
[HTML][HTML] Integrated neuro-swarm heuristic with interior-point for nonlinear SITR model for dynamics of novel COVID-19
The present study is related to present a novel design of intelligent solvers with a neuro-
swarm heuristic integrated with interior-point algorithm (IPA) for the numerical investigations …
swarm heuristic integrated with interior-point algorithm (IPA) for the numerical investigations …
[HTML][HTML] A stochastic numerical computing heuristic of SIR nonlinear model based on dengue fever
The purpose of the current work is to solve the SIR nonlinear model based on dengue fever
using a stochastic numerical computing scheme together with the artificial neural networks …
using a stochastic numerical computing scheme together with the artificial neural networks …
Design of neural network with Levenberg-Marquardt and Bayesian regularization backpropagation for solving pantograph delay differential equations
In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …
Heuristic computing technique for numerical solutions of nonlinear fourth order Emden–Fowler equation
The present study presents numerical solution of the fourth order, singular, nonlinear Emden–
Fowler equation integrated computational intelligence by exploiting the efficiency of …
Fowler equation integrated computational intelligence by exploiting the efficiency of …
MHD casson nanofluid in darcy-forchheimer porous medium in the presence of heat source and arrhenious activation energy: applications of neural networks
The present study investigates the significance of activation energy during chemical
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …