In this paper, a new numerical method for solving the distributed fractional differential
equations is presented. The method is based upon hybrid functions approximation. The …

Lane–Emden equation is an important nonlinear singular second order differential equation
which can express various phenomena in astrophysics. On the other hand, by growing …

Taylor series method is a simple analytical method, which is accessible to all non-
mathematician, has slow convergence. This paper develops a new Taylor series based …

In this paper, we present an innovative and powerful combination of grammatical evolution
and a physics-informed neural network approach for symbolically solving the Lane-Emden …

Applications of neural network algorithms have been grown in recent years and various
architectures have been introduced by researchers for the purpose of solving different types …

The purpose of this paper is to present two efficient computational schemes for solving Lane–
Emden type equations based on an artificial neural network. The mentioned neural network …

In this paper, a numerical method based on the hybrid of the quasilinearization method
(QLM) and the collocation method is suggested for solving wellknown nonlinear Lane …

We present a novel, high-order, efficient, and exponentially convergent shifted Gegenbauer
integral pseudo-spectral method (SGIPSM) to solve numerically Lane–Emden equations …

In order to study the fair value analysis of financial accounting, the Euler wavelet method is
proposed to solve the numerical solutions of a class of Lane-Emden type differential …

In this paper, a new construction machine learning method is proposed based on Rational
Chebyshev polynomials to solve Lane–Emden type differential equations. The method is …