Classification of Stellar Formations with Machine Learning
DOI:
https://doi.org/10.47611/jsrhs.v13i3.6906Keywords:
Machine Learning, Astronomy, Neural Networks, Supervised Learning, Stellar ClassificationAbstract
Among the stellar formations observed with modern telescopes are stars, galaxies, and quasars. Depending on what formation they are, they emit different types of light. We use data on the light emitted by each formation emitted to train a neural network, which will classify each formation as either a star, galaxy, or quasar. We explain our process as we set up each element of the neural network.
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https://www.annualreviews.org/content/journals/10.1146/annurev.aa.28.090190.002253
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Copyright (c) 2024 Alexander Miller
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