Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion
Z Sabir - The European Physical Journal Plus, 2022 - epjplus.epj.org
The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
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 …
[HTML][HTML] Analysis of perturbation factors and fractional order derivatives for the novel singular model using the fractional Meyer wavelet neural networks
In this study, an analysis of the perturbation factors and fractional order derivatives is
performed for the novel singular model. The design of the perturbed fractional order singular …
performed for the novel singular model. The design of the perturbed fractional order singular …
Remarks on bipolar cubic fuzzy graphs and its chemical applications
J Lu, L Zhu, W Gao - … Journal of Mathematics and Computer in …, 2023 - sciendo.com
In theoretical chemistry, fuzzy molecular graphs can be used to model chemical molecular
structures with uncertainty information, where the vertex membership function and edge …
structures with uncertainty information, where the vertex membership function and edge …
A novel radial basis procedure for the SIRC epidemic delay differential model
The purpose of this work is to construct a reliable stochastic framework for solving the SIRC
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
Neuro-evolutionary computing paradigm for the SIR model based on infection spread and treatment
The intension of the present study is to solve the nonlinear biological susceptible, infected
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
Stochastic procedures to solve the nonlinear mass and heat transfer model of Williamson nanofluid past over a stretching sheet
The stochastic procedures ANNs-LMB are provided with three categories of sample
statistics, testing, training and verification. The nonlinear mass and heat transfer of …
statistics, testing, training and verification. The nonlinear mass and heat transfer of …
[HTML][HTML] A numerical performance of the novel fractional water pollution model through the Levenberg-Marquardt backpropagation method
The aim of the current work is to provide the importance and significance of the fractional
order (FO) derivatives for solving the nonlinear water pollution model (FWP) model. The FO …
order (FO) derivatives for solving the nonlinear water pollution model (FWP) model. The FO …
[PDF][PDF] Design of a computational heuristic to solve the nonlinear liénard differential model
In this study, the design of a computational heuristic based on the nonlinear Liénard model
is presented using the efficiency of artificial neural networks (ANNs) along with the …
is presented using the efficiency of artificial neural networks (ANNs) along with the …
An advance computational intelligent approach to solve the third kind of nonlinear pantograph Lane–Emden differential system
This study presents an advanced computational Levenberg–Marquardt backpropagation
(LMB) neural network for the novel third order (NTO) pantograph Emden–Fowler system …
(LMB) neural network for the novel third order (NTO) pantograph Emden–Fowler system …