| Issue |
SHS Web Conf.
Volume 144, 2022
2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 5 | |
| Section | Application of Artificial Intelligence Technology and Machine Learning Algorithms | |
| DOI | https://doi.org/10.1051/shsconf/202214403006 | |
| Published online | 26 August 2022 | |
Stellar Classification by Machine Learning
Civil Engineering, Chongqing University, Chongqing Municipality China, 400044
* Corresponding author. Email: q1810641556@163.com
As an emerging subject with strong comprehensiveness, machine learning has made varying degrees of progress in various fields. In the field of astronomy, it has also been generally used, and there have been quantities of research using machine learning for data processing and model prediction. The paper has used three algorithms (Decision Tree, Random Forest and Support Vector Machine) to build prediction models to classify stars, galaxies, and quasars in the universe and make a comparison among three models. The results of the test have shown that the prediction accuracy of the Random Forest model reaches roughly 98 percent with a great computing efficiency, which performs the best.
© The Authors, published by EDP Sciences, 2022
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