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- W84291729 abstract "Within the scope of computational astropysics, this work presents an experimental study on the application of genetic algorithms to the automated extraction of relevant information from stellar spectra. The input data are a dataset obtained through the collaboration of our research group with the Gaia project of the European Space Agency. The results show that predictions based on spectral indices, which in turn were extracted by means of genetic algorithms, have accuracy levels that are very similar to those obtained through wavelength information. Working with a reduced dataset also implies the reduction of complexity and increased performance." @default.
- W84291729 created "2016-06-24" @default.
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- W84291729 date "2011-01-01" @default.
- W84291729 modified "2023-09-26" @default.
- W84291729 title "Genetic Algorithms Applied to Spectral Index Extraction" @default.
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- W84291729 doi "https://doi.org/10.1007/978-3-642-20206-3_13" @default.
- W84291729 hasPublicationYear "2011" @default.
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