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 …
Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler …
The present investigations are related to design an integrated computing numerical
approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), ie …
approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), ie …
Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems
In physical science, nonlinear singular Lane–Emden and pantograph delay differential
equations (LE–PDDEs) have abundant applications and thus are of great interest for the …
equations (LE–PDDEs) have abundant applications and thus are of great interest for the …
A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model
The present study introduces a novel design of Morlet wavelet neural network (MWNN)
models to solve a class of a nonlinear nervous stomach system represented with governing …
models to solve a class of a nonlinear nervous stomach system represented with governing …
Design of evolutionary finite difference solver for numerical treatment of computer virus propagation with countermeasures model
In the present study, a novel application of integrated evolutionary computing paradigm is
presented for the analysis of nonlinear systems of differential equations representing the …
presented for the analysis of nonlinear systems of differential equations representing the …
FMNSICS: Fractional Meyer neuro-swarm intelligent computing solver for nonlinear fractional Lane–Emden systems
The fractional neuro-evolution-based intelligent computing has substantial potential to solve
fractional order systems represented with Lane–Emden equation arising in astrophysics …
fractional order systems represented with Lane–Emden equation arising in astrophysics …
Backpropagated intelligent networks for the entropy generation and joule heating in hydromagnetic nanomaterial rheology over surface with variable thickness
In the current study, strength of backpropagated intelligent networks (BINs) is exploited for
numerical investigations of entropy characteristics in magnetohydrodynamics (MHD) …
numerical investigations of entropy characteristics in magnetohydrodynamics (MHD) …
Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach
In this study, a novel application of intelligent computing by the exploitation of a supervised
neural networks (SNNs) optimized with the Levenberg–Marquardt method (LMM) is …
neural networks (SNNs) optimized with the Levenberg–Marquardt method (LMM) is …
Design of Morlet wavelet neural network to solve the non-linear influenza disease system
In this study, the solution of the non-linear influenza disease system (NIDS) is presented
using the Morlet wavelet neural networks (MWNNs) together with the optimisation …
using the Morlet wavelet neural networks (MWNNs) together with the optimisation …
A neuro-evolution heuristic using active-set techniques to solve a novel nonlinear singular prediction differential model
In this study, a novel design of a second kind of nonlinear Lane–Emden prediction
differential singular model (NLE-PDSM) is presented. The numerical solutions of this model …
differential singular model (NLE-PDSM) is presented. The numerical solutions of this model …