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Kurian Kanjirakatt, Kiran
- Detection of Exoplanets using Machine Learning .
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Artificial Intelligent Systems and Machine Learning, Vol 13, No 3 (2021), Pagination: 50 - 52Abstract
This paper proposes a System for detecting the exoplanets using a “Convolutional Neural Network” (CNN). It’s the type of Neural Network that’s used for processing grid like topologies like an image. The required data for this project comes from the NASA’s Exoplanet Archive. With over 2,000,000 stars across the universe that are to be analysed, we in this paper put forward an efficient algorithm to analyse all the data with the help of a Convolutional Neural Network. And the main objective of the project is to explore the possibilities and to increase the accuracy of such an algorithm in the field of Exoplanet Detection and Space Research. We make use of Keras which is a high-level neural network framework built upon the Tensor Flow libraryKeywords
CNN (Convolutional Neural Network), Exoplanets, NASA, Transit .
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