[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 …
calculus (FC) theory has been developed to summarize the main features and applications …
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] 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 …
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 …
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 …
[HTML][HTML] Numerical treatment of squeezed MHD Jeffrey fluid flow with Cattaneo Chrisstov heat flux in a rotating frame using Levnberg-Marquard method
The present communication examines the unsteady-two-dimensional (2-D) squeezing flow
of magnetohydrodynamic (MHD) Jeffrey fluid between two parallel plates (HT2DUSMHDJF) …
of magnetohydrodynamic (MHD) Jeffrey fluid between two parallel plates (HT2DUSMHDJF) …
[HTML][HTML] A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems
In this study, a novel stochastic computational frameworks based on fractional Meyer
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
[HTML][HTML] Design of a hybrid NAR-RBFs neural network for nonlinear dusty plasma system
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …
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 …
Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden–Fowler equation
In the present work, a novel neuro-swarming based heuristic solver is established for the
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …