In order to facilitate the understanding of the current research efforts and directions, this
article first introduces the anomalous/problematic features of magnesium (Mg) and presents …

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

In this paper, a new method based on single layer Legendre Neural Network (LeNN) model
has been developed to solve initial and boundary value problems. In the proposed …

Variational iteration method has been used to handle linear and nonlinear differential
equations. The main property of the method lies in its flexibility and ability to solve nonlinear …

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 …

A novel modification of the variational iteration method (VIM) is proposed by means of the
Laplace transform. Then the method is successfully extended to fractional differential …

The fractional neuro-evolution-based intelligent computing has substantial potential to solve
fractional order systems represented with Lane–Emden equation arising in astrophysics …

In this paper, a shifted Jacobi–Gauss collocation spectral method is proposed for solving the
nonlinear Lane–Emden type equation. The spatial approximation is based on shifted Jacobi …

In this paper, we use the systematic Adomian decomposition method to handle the integral
form of the Lane–Emden equations with initial values and boundary conditions. The Volterra …