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) …
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 …
[HTML][HTML] 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] Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease …
The aim of this work is to design an intelligent computing paradigm through Levenberg–
Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona …
Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona …
[HTML][HTML] Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
Solar energy serves as a great alternative to fossil fuels as they are clean and renewable
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
[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 …
Design of neural network with Levenberg-Marquardt and Bayesian regularization backpropagation for solving pantograph delay differential equations
In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …
Heuristic computing technique for numerical solutions of nonlinear fourth order Emden–Fowler equation
The present study presents numerical solution of the fourth order, singular, nonlinear Emden–
Fowler equation integrated computational intelligence by exploiting the efficiency of …
Fowler equation integrated computational intelligence by exploiting the efficiency of …
Design and numerical solutions of a novel third‐order nonlinear Emden–Fowler delay differential model
In this study, the design of a novel model based on nonlinear third‐order Emden–Fowler
delay differential (EF‐DD) equations is presented along with two types using the sense of …
delay differential (EF‐DD) equations is presented along with two types using the sense of …