Abstract
Neural networks, a subset of artificial intelligence (AI), have been increasingly utilized in the field of space exploration, offering innovative solutions to complex challenges in spacecraft navigation, data analysis, and mission planning. This article explores the applications of neural networks in space exploration, focusing on their use in autonomous spacecraft, image recognition, real-time data processing, and predictive modeling. By analyzing large volumes of data and making data-driven decisions, neural networks enhance the capabilities of space missions, enabling more efficient operations and safer exploration. The article also discusses the future potential of neural networks in space exploration and the challenges of their integration into space systems
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