[HTML][HTML] Numerical analysis of 3-D MHD hybrid nanofluid over a rotational disk in presence of thermal radiation with Joule heating and viscous dissipation effects …
In this research, the phenomenon of heat and mass transfer in 3D radiative flow of hybrid
nanofluid over a rotational disk is investigated. Nanoparticles of Al 2 O 3 and Cu are being …
nanofluid over a rotational disk is investigated. Nanoparticles of Al 2 O 3 and Cu are being …
Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control
The aim of this work is to design an intelligent computing paradigm through Levenberg–
Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona …
Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona …
Stochastic numerical technique for solving HIV infection model of CD4+ T cells
The intension of the present work is to present the stochastic numerical approach for solving
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …
Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically
In this study, bio-inspired computational techniques have been exploited to get the
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system
In the present study, a novel fractional Meyer neuro-evolution-based intelligent computing
solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional …
solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional …
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 …
[HTML][HTML] Design of a hybrid NAR-RBFs neural network for nonlinear dusty plasma system
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
Neuro-swarm intelligent computing to solve the second-order singular functional differential model
The aim of the present study is to solve the singular second-order functional differential
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines
In the present work, a new stochastic computing technique based on evolutionary cubic
spline method (CSM) is introduced for solving nonlinear singular Thomas–Fermi system …
spline method (CSM) is introduced for solving nonlinear singular Thomas–Fermi system …