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 …
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 …
Neuro-computing networks for entropy generation under the influence of MHD and thermal radiation
In this research article, artificial neural networks back-propagated with Levenberg Marquardt
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …
[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 new evolutionary algorithm: Learner performance based behavior algorithm
A novel evolutionary algorithm called learner performance based behavior algorithm (LPB)
is proposed in this article. The basic inspiration of LPB originates from the process of …
is proposed in this article. The basic inspiration of LPB originates from the process of …
[HTML][HTML] A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems
In this study, a novel stochastic computational frameworks based on fractional Meyer
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
[HTML][HTML] A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells
The aim of this study is to provide the numerical outcomes of a nonlinear HIV infection
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
An efficient stochastic numerical computing framework for the nonlinear higher order singular models
The focus of the present study is to present a stochastic numerical computing framework
based on Gudermannian neural networks (GNNs) together with the global and local search …
based on Gudermannian neural networks (GNNs) together with the global and local search …
Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a
curved channel by using a data driven stochastic numerical paradigm based on artificial …
curved channel by using a data driven stochastic numerical paradigm based on artificial …
Fractional mayer neuro-swarm heuristic solver for multi-fractional order doubly singular model based on lane–emden equation
This research is related to present a novel fractional Mayer neuro-swarming intelligent
solver for the numerical treatment of multi-fractional order doubly singular Lane–Emden (LE) …
solver for the numerical treatment of multi-fractional order doubly singular Lane–Emden (LE) …