Application of Deep Learning in the Search and a Certain Celestial Body

Abstract

With the development of the times, celestial body search has become increasingly common, and people want to enhance their understanding of the universe through further search of celestial bodies. Nowadays, many software and hardware have been invented to assist in celestial body search, but the computational efficiency and efficiency of current software are still insufficient. So this article focuses on the research and application of Deep Learning (DL) in the search and analysis of "a certain celestial body", aiming to improve celestial search through DL. Through experiments, this article uses DL to achieve a maximum computational rate of 78% and a minimum of 70% for celestial search. The computational efficiency of celestial search without DL can reach up to 68% and 57%, respectively. After using DL, the efficiency of celestial search reaches up to 82% and 70%, while before using DL, the efficiency of celestial search reaches up to 62% and 50%, respectively. From this data, it can be seen that DL can achieve good results in celestial search.