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] 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] 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 …
[HTML][HTML] Heuristic computational design of Morlet wavelet for solving the higher order singular nonlinear differential equations
The aim of this study is to present the numerical solutions of the higher order singular
nonlinear differential equations using an advanced intelligent computational approach by …
nonlinear differential equations using an advanced intelligent computational approach by …
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 …
Integrated neuro‐evolution heuristic with sequential quadratic programming for second‐order prediction differential models
The current study presents a novel application of integrated intelligent computing solver for
numerical treatment of second‐order prediction differential models by exploiting the …
numerical treatment of second‐order prediction differential models by exploiting the …
A neural network computational structure for the fractional order breast cancer model
The current study provides the numerical performances of the fractional kind of breast
cancer (FKBC) model, which are based on five different classes including cancer stem cells …
cancer (FKBC) model, which are based on five different classes including cancer stem cells …
Optimal type-3 fuzzy system for solving singular multi-pantograph equations
In this study a new machine learning technique is presented to solve singular multi-
pantograph differential equations (SMDEs). A new optimized type-3 fuzzy logic system (T3 …
pantograph differential equations (SMDEs). A new optimized type-3 fuzzy logic system (T3 …
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 …
Morlet wavelet neural network investigations to present the numerical investigations of the prediction differential model
In this study, a design of Morlet wavelet neural networks (MWNNs) is presented to solve the
prediction differential model (PDM) by applying the global approximation capability of a …
prediction differential model (PDM) by applying the global approximation capability of a …