[HTML][HTML] Artificial neural networks: a practical review of applications involving fractional calculus

E Viera-Martin, JF Gómez-Aguilar… - The European Physical …, 2022 - Springer
In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …

Intelligent computing for numerical treatment of nonlinear prey–predator models

M Umar, Z Sabir, MAZ Raja - Applied Soft Computing, 2019 - Elsevier
In this study, a new computing paradigm is presented for evaluation of dynamics of
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …

Solving differential equations of fractional order using an optimization technique based on training artificial neural network

M Pakdaman, A Ahmadian, S Effati… - Applied Mathematics …, 2017 - Elsevier
The current study aims to approximate the solution of fractional differential equations (FDEs)
by using the fundamental properties of artificial neural networks (ANNs) for function …

A novel optimization-based physics-informed neural network scheme for solving fractional differential equations

S SM, P Kumar, V Govindaraj - Engineering with Computers, 2024 - Springer
Nowadays, the study of neural networks is one of the most interesting research topics. In this
article, we introduce a novel scheme based on Physics Informed Neural Network (PINN) for …

Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing

MAZ Raja, J Mehmood, Z Sabir, AK Nasab… - Neural Computing and …, 2019 - Springer
In this paper, a bio-inspired computational intelligence technique is presented for solving
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …

Fractional-order adaptive backstepping control of robotic manipulators in the presence of model uncertainties and external disturbances

N Nikdel, M Badamchizadeh… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, the problem of finite-time stabilization and control of an n-degree of freedom
(DOF) robotic manipulator is concerned. Factors such as model nonlinearity, uncertainties …

Approximation methods for solving fractional optimal control problems

SS Zeid, S Effati, AV Kamyad - Computational and Applied Mathematics, 2018 - Springer
In this review paper, approximation methods for the free final time of fractional optimal
control problems (FOCPs) are displayed. The considered problems mainly include the …

A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory

MA Zahoor Raja, Z Shah, M Anwaar Manzar… - The European physical …, 2018 - Springer
The aim of the present work is to investigate the stochastic numerical solutions of nonlinear
Painlevé II systems arising from studies of two-dimensional Yang-Mills theory, growth …

Approximate controllability of semilinear Hilfer fractional differential inclusions with impulsive control inclusion conditions in Banach spaces

A Debbouche, V Antonov - Chaos, Solitons & Fractals, 2017 - Elsevier
This paper introduces a new concept called impulsive control inclusion condition, ie, the
impulsive condition is presented, in the first time, as inclusion related to multivalued maps …

Generalized shifted Chebyshev polynomials for fractional optimal control problems

H Hassani, JAT Machado, E Naraghirad - Communications in Nonlinear …, 2019 - Elsevier
The generalized shifted Chebyshev polynomials (GSCP) represent a novel class of basis
functions that include free coefficients and control parameters. The GSCP are adopted to …