Artificial neural networks for the wavelet analysis of Lane-Emden equations: exploration of astrophysical enigma
Author:
Affiliation:
1. School of Mathematics, Computers and Information Sciences, Central University of Himachal Pradesh, Shahpur, India
2. Department of Mathematics, Cankaya University, Ankara, Turkey
3. Institute of Space Sciences, Magurele-Bucharest, Romania
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02286203.2023.2301126
Reference52 articles.
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2. Monte Carlo simulation of Lane–Emden type equations arising in astrophysics
3. Eddington AS, Eddington AS. The internal constitution of the stars. Cambridge, New York: Cambridge University Press; 1988.
4. Horedt GP. Polytropes: applications in astrophysics and related fields. Vol. 306: Kluwer Academic Publishers, Dordrecht: Springer Science & Business Media; 2004.
5. The apsidal motion test of the internal stellar structure-comparison between theory and observations;Claret A;Astron Astrophys,1993
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1. Computational Techniques for Accurate Solutions of Astrophysical Problems Using Transform-Based Collocation;International Journal of Applied Mathematics, Computational Science and Systems Engineering;2024-07-05
2. GEPINN: An innovative hybrid method for a symbolic solution to the Lane–Emden type equation based on grammatical evolution and physics-informed neural networks;Astronomy and Computing;2024-07
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