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 …

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 …

In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

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 …

In this analysis, by developed the reproducing kernel Hilbert space method within the
Atangana–Baleanu fractional approach, the Bagley–Torvik and Painlevé equations are …

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 …

In this study, a novel neuro-swarming computing solver is developed for numerical treatment
of third-order nonlinear multi-singular Emden–Fowler equation (TONMS-EFE) by using …

The present study presents numerical solution of the fourth order, singular, nonlinear Emden–
Fowler equation integrated computational intelligence by exploiting the efficiency of …

Bio-inspired computing approaches are effective to solve a variety of dynamical problems.
The strength of these stochastic solvers is exploited for the numerical treatment of a …

The aim of the present study is to present a new model based on the nonlinear singular
second order delay differential equation of Lane–Emden type and numerically solved by …