A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment
In this paper, the design of stochastic computational intelligent solver is presented for the
solution of mathematical model representing the dynamics of mosquito dispersal in a …
solution of mathematical model representing the dynamics of mosquito dispersal in a …
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 …
Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control
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 …
Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically
In this study, bio-inspired computational techniques have been exploited to get the
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
Novel design of Morlet wavelet neural network for solving second order Lane–Emden equation
In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …
FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system
In the present study, a novel fractional Meyer neuro-evolution-based intelligent computing
solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional …
solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional …
Neuro-heuristics for nonlinear singular Thomas-Fermi systems
A neuro-heuristic scheme is design to solve nonlinear singular second order system based
on Thomas-Fermi equation using the strength of universal approximation capabilities of …
on Thomas-Fermi equation using the strength of universal approximation capabilities of …
Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation
In this study, a novel neuro-swarming computing solver is developed for numerical treatment
of third-order nonlinear multi-singular Emden–Fowler equation (TONMS-EFE) by using …
of third-order nonlinear multi-singular Emden–Fowler equation (TONMS-EFE) by using …
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 …