Exploring Symbolic Regression and Genetic Algorithms for Astronomical Object Classification
This study explores the use of symbolic regression (SR) combined with genetic algorithms (GA) to classify astronomical objects. Using the SDSS17 dataset from Kaggle, which includes 100,000 observations of stars, galaxies, and quasars, we applied SR to 10% of the data to derive a mathematical express...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Maynooth Academic Publishing
2025-03-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.132333 |
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