@Article{CarrubaAljbDomiBarl:2021:ArNeNe,
               author = "Carruba, Val{\'e}rio and Aljbaae, Safwan and Domingos, R. C. and 
                         Barletta, W.",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade Estadual Paulista 
                         (UNESP)} and {Universidade Estadual Paulista (UNESP)}",
                title = "Artificial neural network classification of asteroids in the M1:2 
                         mean-motion resonance with Mars",
              journal = "Monthly Notices of the Royal Astronomical Society",
                 year = "2021",
               volume = "504",
               number = "1",
                pages = "692--700",
                month = "June",
             keywords = "methods: data analysis, celestial mechanics, minor planets, 
                         asteroids: general.",
             abstract = "Artificial neural networks (ANNs) have been successfully used in 
                         the last years to identify patterns in astronomical images. The 
                         use of ANN in the field of asteroid dynamics has been, however, so 
                         far somewhat limited. In this work, we used for the first time ANN 
                         for the purpose of automatically identifying the behaviour of 
                         asteroid orbits affected by the M1:2 mean-motion resonance with 
                         Mars. Our model was able to perform well above 85 per cent levels 
                         for identifying images of asteroid resonant arguments in term of 
                         standard metrics like accuracy, precision, and recall, allowing to 
                         identify the orbital type of all numbered asteroids in the region. 
                         Using supervised machine learning methods, optimized through the 
                         use of genetic algorithms, we also predicted the orbital status of 
                         all multi-opposition asteroids in the area. We confirm that the 
                         M1:2 resonance mainly affects the orbits of the Massalia, Nysa, 
                         and Vesta asteroid families.",
                  doi = "10.1093/mnras/stab914",
                  url = "http://dx.doi.org/10.1093/mnras/stab914",
                 issn = "0035-8711 and 1365-2966",
             language = "en",
           targetfile = "carruba_artificial.pdf",
        urlaccessdate = "09 maio 2024"
}