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 …

The aim of this study is to design a layer structure of feed-forward artificial neural networks
using the Morlet wavelet activation function for solving a class of pantograph differential …

These investigations are to find the numerical solutions of the nonlinear smoke model to
exploit a stochastic framework called gudermannian neural works (GNNs) along with the …

In this paper, a class of inertial neural networks with time delays is considered. By
develo** an approach based on differential inequality techniques coupled with Lyapunov …

In this investigative study, the electro‐magneto hydrodynamic (EMHD) influence on a nano
viscous fluid model is scrutinized by designing an artificial neural network (ANN) paradigm …

In this article, three different techniques, the Fractional Perturbation Iteration Method (FPIA),
Fractional Successive Differentiation Method (FSDM), and Fractional Novel Analytical …

The aim of this work is to present a design of Morlet wavelet neural network (MWNN) for
solving a novel prevention category (P) in the HIV system, known as HIPV mathematical …

This study is relevant to present the numerical form of the nonlinear dengue fever SIR
system are presented using the artificial neural networks along with the Levenberg …

The present study is related to design a novel multi-fractional multi-singular Lane–Emden
model (MFMS-LEM) by kee** the ideas of the literature LEM and by extension of the work …

Novel nonlinear power-law flux models were utilized to model the heat transport phe-
nomenon in nano-micropolar fluid over a flexible surface. The nonlinear conservation laws …