Design of fractional hierarchical gradient descent algorithm for parameter estimation of nonlinear control autoregressive systems
The trend of developing fractional gradient based iterative adaptive strategies is evolved in
the recent years through effectively exploring the fractional and fractal dynamics. In this …
the recent years through effectively exploring the fractional and fractal dynamics. In this …
Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear model
The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
Design of auxiliary model based normalized fractional gradient algorithm for nonlinear output-error systems
A new avenue of fractional calculus applications has emerged that investigates the design of
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …
[HTML][HTML] Virtual synchronous generator: Modifications, stability assessment and future applications
The distributed generation (DG) integration into the power system is growing rapidly.
Therefore, the power system experiencing low inertia and damping because DG possesses …
Therefore, the power system experiencing low inertia and damping because DG possesses …
Time fractional Yang–Abdel–Cattani derivative in generalized MHD Casson fluid flow with heat source and chemical reaction
This present research article investigates the exact analytical solution for the mathematical
model of the generalized Casson fluid flow by using the new fractional operator with …
model of the generalized Casson fluid flow by using the new fractional operator with …
Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
The presented study deals with the exploitation of the artificial intelligence knacks-based
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …
Hierarchical quasi-fractional gradient descent method for parameter estimation of nonlinear ARX systems using key term separation principle
Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …
successfully applied to solve system identification problem. The QFGD suffers from the …
[HTML][HTML] A MEC-IIoT intelligent threat detector based on machine learning boosted tree algorithms
S Ruiz-Villafranca, J Roldán-Gómez… - Computer Networks, 2023 - Elsevier
In recent years, new management methods have appeared that mark the beginning of a new
industrial revolution called Industry 4.0 or the Industrial Internet of Things (IIoT). IIoT brings …
industrial revolution called Industry 4.0 or the Industrial Internet of Things (IIoT). IIoT brings …
An industrial virus propagation model based on SCADA system
Supervisory control and data acquisition (SCADA) systems are widely used in the national
infrastructure. As more and more SCADA systems have been connected to the Internet …
infrastructure. As more and more SCADA systems have been connected to the Internet …
Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks
In this study, modeling the COVID-19 pandemic via a novel fractional-order SIDARTHE (FO-
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …