PRESENTED AT AAS 235
Co-supervisor of Albert Sneppen @ Cosmic Dawn Center, 2019 ADS | PRESENTATION In this project a neural network has been designed to classify stars and galaxies, where an optimal use of information and structure of the neural network has been investigated. Thus, the project presents a computationally fast methodology with the freedom to choose between quantity and purity that can accurately predict more than 95 percent of stars and galaxies.
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Research ProjectsA "completed" project is a matter of perspective. Archives
June 2020
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