Using a neural network approach and starspots dependent models to predict effective temperatures and ages of young stars.
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| Title: | Using a neural network approach and starspots dependent models to predict effective temperatures and ages of young stars. |
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| Authors: | Tarantino M; University of Palermo, Department of Economics, Business and Statistics, Palermo, Italy., Prisinzano L; INAF-Osservatorio Astronomico di Palermo, Palermo, Italy., D'Angelo N; University of Palermo, Department of Economics, Business and Statistics, Palermo, Italy., Damiani F; INAF-Osservatorio Astronomico di Palermo, Palermo, Italy., Adelfio G; University of Palermo, Department of Economics, Business and Statistics, Palermo, Italy. |
| Source: | PloS one [PLoS One] 2025 Dec 17; Vol. 20 (12), pp. e0336592. Date of Electronic Publication: 2025 Dec 17 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0336592 |
