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 …
[HTML][HTML] Numerical treatment for the desirability of Hall current and activation energy in the enhancement of heat transfer in a nanofluidic system
The growing attractiveness of Artificial Neural Networks (ANNs) derives from their
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
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 …
Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks
The purpose of this research is to investigate the numerical solutions of singular functional
delay differential equations (SFDDEs) of third, fourth and fifth orders, which arises in …
delay differential equations (SFDDEs) of third, fourth and fifth orders, which arises in …
Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere
The current work is to design a novel neuro-swarming computational approach for numerical
treatment of mosquito dispersal system based on the heterogeneous environment by …
treatment of mosquito dispersal system based on the heterogeneous environment by …
Intelligent predictive computing for functional differential system in quantum calculus
The aim of this study is to present a novel application of Levenberg–Marquardt
backpropagation (LMB) to investigate numerically the solution of functional differential …
backpropagation (LMB) to investigate numerically the solution of functional differential …
Swarm intelligent computing procedures to solve the novel precautionary measures in the nonlinear HIV system
The current investigations present a novel prevention dynamic in the Human
immunodeficiency virus (HIV) system, which is one of the deathly, convertible and unsafe …
immunodeficiency virus (HIV) system, which is one of the deathly, convertible and unsafe …
Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear …
The aim of this study is to estimate the solution of Eyring–Powell nanofluid model (EPNFM)
with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation by …
with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation by …
Neuro-Swarm Computational Intelligent Solver for Three-Point Singular Nonlinear Boundary Value Problems
The current study is to design a novel intelligent computing optimization scheme for solving
a class of second kind of three-point singular boundary value problems (TPS-BVPs) by …
a class of second kind of three-point singular boundary value problems (TPS-BVPs) by …
[引用][C] Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics
M Bilal, E Rocha, M Asif Zahoor Raja… - … Journal of Modeling …, 2024 - World Scientific
Using an artificial neural network and the Bayesian Regularization Technique (NNs-BRT),
the stochastic method's strength is used to analyze the differential system, illustrating a …
the stochastic method's strength is used to analyze the differential system, illustrating a …