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 …
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 …
Atangana–Baleanu fractional approach to the solutions of Bagley–Torvik and Painlevé equations in Hilbert space
OA Arqub, M Al-Smadi - Chaos, Solitons & Fractals, 2018 - Elsevier
In this analysis, by developed the reproducing kernel Hilbert space method within the
Atangana–Baleanu fractional approach, the Bagley–Torvik and Painlevé equations are …
Atangana–Baleanu fractional approach, the Bagley–Torvik and Painlevé equations are …
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 …
A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head
Bio-inspired computing approaches are effective to solve a variety of dynamical problems.
The strength of these stochastic solvers is exploited for the numerical treatment of a …
The strength of these stochastic solvers is exploited for the numerical treatment of a …
Neuro-swarm intelligent computing to solve the second-order singular functional differential model
The aim of the present study is to solve the singular second-order functional differential
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels
This article presents a methodology to solve a one-dimensional steady-state nonlinear
reactive transport model (RTM) that is meant for fluid and solute transport model of soft …
reactive transport model (RTM) that is meant for fluid and solute transport model of soft …
A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines
In the present work, a new stochastic computing technique based on evolutionary cubic
spline method (CSM) is introduced for solving nonlinear singular Thomas–Fermi system …
spline method (CSM) is introduced for solving nonlinear singular Thomas–Fermi system …
Artificial neural network scheme to solve the nonlinear influenza disease model
The aim of this study is to present the numerical simulations of the influenza disease
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming
In this paper, a novel application of biologically inspired computing paradigm is presented
for solving initial value problem (IVP) of electric circuits based on nonlinear RL model by …
for solving initial value problem (IVP) of electric circuits based on nonlinear RL model by …