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 …
[HTML][HTML] 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] 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 and numerical solutions of a novel third‐order nonlinear Emden–Fowler delay differential model
In this study, the design of a novel model based on nonlinear third‐order Emden–Fowler
delay differential (EF‐DD) equations is presented along with two types using the sense of …
delay differential (EF‐DD) equations is presented along with two types using the sense of …
[HTML][HTML] A numerical simulation of the fractional order Leptospirosis model using the supervise neural network
The aim of this work is to present the numerical simulations of the novel designed fractional
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
[HTML][HTML] Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear …
The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model
This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …
strength of artificial neural network (ANN) together with the competences of global and local …
Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden–Fowler equation
In the present work, a novel neuro-swarming based heuristic solver is established for the
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …
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 …
[HTML][HTML] 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 …