Research Article

Approximate Solutions of the Lane-Emden Equations by LS-SVM Method

Volume: 18 Number: 1 February 23, 2026

Approximate Solutions of the Lane-Emden Equations by LS-SVM Method

Abstract

In this study, approximate solutions of the Lane-Emden differential equation, which plays an important role in the literature, were obtained using the Least Squares Support Vector Machines (LS-SVM) method for both linear and nonlinear cases. The Collocation method was employed to define the constraints in the solution process. The system of equations obtained in the linear case was solved directly to determine the unknown parameters, while the Newton-Raphson method was used to solve the nonlinear equation system. The approximate solutions obtained in the applications considered in this study were compared with the exact solution for the linear case; with the analytical solution for the nonlinear case; and with the Adomian Decomposition Method (ADM) in the final application where no analytical solution exists. The results show that the numerical solutions obtained using the LS-SVM method are highly accurate and consistent with the reference results.

Keywords

References

  1. Ala’yed, O., Saadeh, R., Qazza, A., Numerical solution for the system of Lane-Emden type equations using cubic B-spline method arising in engineering, AIMS Mathematics, 6(2023), 14747–14766.
  2. Anitescu, C., Atroshchenko, E., et al., Artificial neural network methods for the solution of second order boundary value problems, Computers, Materials & Continua, 1(2019), 345–359.
  3. Kourosh, P., Nikarya, M., Rad, J.A., Solving non-linear Lane–Emden type equations using Bessel orthogonal functions collocation method, Celestial Mechanics and Dynamical Astronomy, 1(2013), 97–107.
  4. Lagaris, I., Likas, A., Fotiadis, D.I., Artificial neural networks for solving ordinary and partial differential equations, IEEE Trans. Neural Netw., 5(1998), 987–1000.
  5. Lee, H., Kang, I., Neural algorithms for solving differential equations, J. Comput. Phys., 1(1990), 110–117.
  6. Mall, S., Chakraverty, S., Application of Legendre neural network for solving ordinary differential equations, Applied Soft Computing, 43(2016), 347–356.
  7. McFall, K.S., Mahan, J.R., Artificial neural network method for solution of boundary value problems with exact satisfaction of arbitrary boundary conditions, IEEE Trans. Neural Netw., 8(2009), 1221–1233.
  8. Meade, A.J., Fernadez, A.A., The numerical solution of linear ordinary differential equations by feedforward neural networks, Math. Comput. Model., 12(1994), 1–25.

Details

Primary Language

English

Subjects

Machine Learning (Other), Numerical Solution of Differential and Integral Equations

Journal Section

Research Article

Publication Date

February 23, 2026

Submission Date

December 30, 2024

Acceptance Date

October 22, 2025

Published in Issue

Year 2026 Volume: 18 Number: 1

APA
Şengül, S., & Tali, H. H. (2026). Approximate Solutions of the Lane-Emden Equations by LS-SVM Method. Turkish Journal of Mathematics and Computer Science, 18(1), 11-23. https://doi.org/10.47000/tjmcs.1609938
AMA
1.Şengül S, Tali HH. Approximate Solutions of the Lane-Emden Equations by LS-SVM Method. TJMCS. 2026;18(1):11-23. doi:10.47000/tjmcs.1609938
Chicago
Şengül, Süleyman, and Hasan Halit Tali. 2026. “Approximate Solutions of the Lane-Emden Equations by LS-SVM Method”. Turkish Journal of Mathematics and Computer Science 18 (1): 11-23. https://doi.org/10.47000/tjmcs.1609938.
EndNote
Şengül S, Tali HH (February 1, 2026) Approximate Solutions of the Lane-Emden Equations by LS-SVM Method. Turkish Journal of Mathematics and Computer Science 18 1 11–23.
IEEE
[1]S. Şengül and H. H. Tali, “Approximate Solutions of the Lane-Emden Equations by LS-SVM Method”, TJMCS, vol. 18, no. 1, pp. 11–23, Feb. 2026, doi: 10.47000/tjmcs.1609938.
ISNAD
Şengül, Süleyman - Tali, Hasan Halit. “Approximate Solutions of the Lane-Emden Equations by LS-SVM Method”. Turkish Journal of Mathematics and Computer Science 18/1 (February 1, 2026): 11-23. https://doi.org/10.47000/tjmcs.1609938.
JAMA
1.Şengül S, Tali HH. Approximate Solutions of the Lane-Emden Equations by LS-SVM Method. TJMCS. 2026;18:11–23.
MLA
Şengül, Süleyman, and Hasan Halit Tali. “Approximate Solutions of the Lane-Emden Equations by LS-SVM Method”. Turkish Journal of Mathematics and Computer Science, vol. 18, no. 1, Feb. 2026, pp. 11-23, doi:10.47000/tjmcs.1609938.
Vancouver
1.Süleyman Şengül, Hasan Halit Tali. Approximate Solutions of the Lane-Emden Equations by LS-SVM Method. TJMCS. 2026 Feb. 1;18(1):11-23. doi:10.47000/tjmcs.1609938