The goal of this research is to introduce the simulation studies of the vector-host disease
nonlinear system (VHDNS) along with the numerical treatment of artificial neural networks …

The main objective of this research is to design a numerical computational solver-based two-
layers structure of Levenberg–Marquardt backpropagation neural networks, ie LMB-NNs for …

This article aims to describe the simulation studies of the hepatitis B virus non-linear system
using supervised neural networks procedures supported by Levenberg-Marquardt back …

This paper addresses the problem of multi-stability analysis for fractional-order
quaternionvalued neural networks (QVNNs) with time delay. Based on the geometrical …

A novel design of the computational intelligent framework is presented to solve a class of
host-vector-predator nonlinear model governed with set of ordinary differential equations …

Nonlinear model predictive control is still an open subject especially when dealing with
fractional models. Regarding a variety of processes represented by nonlinear fractional …

The echo signals of the radar in complex backgrounds are often very unstable and thus
require effective noise cancellation. In this paper, according to the characteristics of …

A repeatedly infected person is one of the most important barriers to malaria disease
eradication in the population. In this article, the effects of recurring malaria re-infection and …

Humanities geography field practice is an important part of teaching, and this paper aims to
study the design and practice of humanities geography field teaching in the era of big data …

To suppress noise interference and improve defect identification accuracy, we propose a
transfer learning-based adaptive wavelet neural network (AWNN) method for pipeline defect …