Towards the prediction of molecular parameters from astronomical emission lines using Neural Networks

Barrientos, A.; Holdship, J.R.; Solar, M.; Martín, S.; Rivilla, V.M.; Viti, S.; ... ; Humire, P. (2021)

Article / Letter to editor

• Molecular Astronomy
• Molecular Parameters
• Machine Learning
• Neural Networks
• MADCUBA
• ALCHEMI

• All authors: Barrientos, A.; Holdship, J.R.; Solar, M.; Martín, S.; Rivilla, V.M.; Viti, S.; Mangum, J.; Harada, N.; Sakamoto, K.; Muller, S.; Tanaka, K.; Yoshimura, Y.; Nakanishi, K.; Herrero-Illana, R.; Mühle, S.; Aladro, R.; Aalto, S.; Henkel, C.; Humire, P.
• Date: 2021
• Journal: Experimental Astronomy
• Volume: 52
• Issue: 1-2
• Pages: 157 - 182
• DOI: doi:10.1007/s10686-021-09786-w
• Link: https://ui.adsabs.harvard.edu/abs/2021ExA....52..157B