An efficient computational procedure to solve the biological nonlinear Leptospirosis model using the genetic algorithms
The purpose of this work is to present the numerical solutions of the nonlinear mathematical
Leptospirosis disease (LD) model using the computational performances of the artificial …
Leptospirosis disease (LD) model using the computational performances of the artificial …
Applications of Gudermannian neural network for solving the SITR fractal system
This study is related to explore the Gudermannian neural network (GNN) for solving a
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
Numerical investigations of the fractional-order mathematical model underlying immune-chemotherapeutic treatment for breast cancer using the neural networks
The aim of this work is to design a stochastic framework to solve the fractional-order
differential model based on the breast cancer progression during the immune …
differential model based on the breast cancer progression during the immune …
Design of Morlet wavelet neural network to solve the non-linear influenza disease system
In this study, the solution of the non-linear influenza disease system (NIDS) is presented
using the Morlet wavelet neural networks (MWNNs) together with the optimisation …
using the Morlet wavelet neural networks (MWNNs) together with the optimisation …
Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks
In this study, modeling the COVID-19 pandemic via a novel fractional-order SIDARTHE (FO-
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …
Intelligent computing paradigm for the Buongiorno model of nanofluid flow with partial slip and MHD effects over a rotating disk
This study examines the Buongiorno model for the MHD nano‐fluid flow through a rotating
disk under the influence of partial slip effects using the Levenberg Marquardt back …
disk under the influence of partial slip effects using the Levenberg Marquardt back …
IoT technology enabled heuristic model with Morlet wavelet neural network for numerical treatment of heterogeneous mosquito release ecosystem
The utmost advancements of artificial neural networks (ANNs), software-defined networks
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …
[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 …
A neuro swarm procedure to solve the novel second order perturbed delay Lane-Emden model arising in astrophysics
The current work provides a mathematical second order perturbed singular delay differential
model (SO-PSDDM) by using the standard form of the Lane-Emden model. The inclusive …
model (SO-PSDDM) by using the standard form of the Lane-Emden model. The inclusive …
Solution of novel multi-fractional multi-singular Lane–Emden model using the designed FMNEICS
The present study is related to design a novel multi-fractional multi-singular Lane–Emden
model (MFMS-LEM) by keeping the ideas of the literature LEM and by extension of the work …
model (MFMS-LEM) by keeping the ideas of the literature LEM and by extension of the work …