In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

In this paper, a collocation method based on Laguerre wavelets is proposed for the
numerical solutions of linear and nonlinear singular boundary value problems. Laguerre …

In this study, a novel stochastic computational frameworks based on fractional Meyer
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …

Fractional differential equations are solved using the Legendre wavelets. An operational
matrix of fractional order integration is derived and is utilized to reduce the fractional …

In this paper we propose a collocation method for solving some well-known classes of Lane–
Emden type equations which are nonlinear ordinary differential equations on the semi …

In this paper, we propose an Artificial Neural Network (ANN) method for solving some well-
known classes of Lane–Emden type equations which are the important nonlinear singular …

In the present study, stochastic numerical computing approach is developed by applying
artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary …

Lane–Emden equation is a nonlinear singular equation in the astrophysics that corresponds
to the polytropic models. In this paper, a pseudospectral technique is proposed to solve the …

This article proposes an analytical solution for the Emden–Chandrasekhar equation (ECE)
that model polytropic stellar structure in astrophysics. The mathematical approach is based …

A numerical scheme, based on the Haar wavelet operational matrices of integration for
solving linear two-point and multi-point boundary value problems for fractional differential …