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 …
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
Background: Mathematical modeling of vector-borne diseases and forecasting of epidemics
outbreak are global challenges and big point of concern worldwide. The outbreaks depend …
outbreak are global challenges and big point of concern worldwide. The outbreaks depend …
The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions
In this framework entropy generation optimization in dissipative flow of Ree-Eyring fluid
model (EGODF-RFM) with chemical reaction of quartic autocatalysis between two rotating …
model (EGODF-RFM) with chemical reaction of quartic autocatalysis between two rotating …
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] 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 …
[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) …
Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system
In the presented research study, the novel intelligence based numerical computation by
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
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 …
Dynamical analysis of a novel discrete fractional SITRS model for COVID-19
In this paper, a discrete fractional Susceptible-Infected-Treatment-Recovered-Susceptible
(SITRS) model for simulating the coronavirus (COVID-19) pandemic is presented. The …
(SITRS) model for simulating the coronavirus (COVID-19) pandemic is presented. The …