An Overview of the Application of Neural Networks in Orbit Optimization

The idea of neural networks has emerged in recent times and has shown great results in complex and nonlinear systems. Many aerospace engineering areas like autonomous systems, adaptive control, and flight dynamics modeling can be better handled with neural networks. Selecting an orbit that consumes the fewest resources and reduces expenditure can broadly be called orbit optimization. In this study, the application of neural networks in orbit optimization in various space missions and satellite ventures is brought together.

Authors

Publication Details

Journal
Journal of Computer Science
Published
2025-03-01
DOI
https://doi.org/10.3844/jcssp.2025.558.565
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
4.99
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article

An Overview of the Application of Neural Networks in Orbit Optimization

Deeksha Pal, Pratiksha Devshali Bhavsar
1 citations
Journal of Computer Science
Inertial Sensor and Navigation
4.99
article

An Overview of the Application of Neural Networks in Orbit Optimization

Deeksha Pal, Pratiksha Devshali Bhavsar
article en
1 citations

Abstract

The idea of neural networks has emerged in recent times and has shown great results in complex and nonlinear systems. Many aerospace engineering areas like autonomous systems, adaptive control, and flight dynamics modeling can be better handled with neural networks. Selecting an orbit that consumes the fewest resources and reduces expenditure can broadly be called orbit optimization. In this study, the application of neural networks in orbit optimization in various space missions and satellite ventures is brought together.

Journal of Computer ScienceVol. 21(3)
Openalex Percentile: Top 7%
Inertial Sensor and Navigation
4.99
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An Overview of the Application of Neural Networks in Orbit Optimization — Deeksha Pal, Pratiksha Devshali Bhavsar · Journal of Computer Science (2025) | TGRS Research Map | TGRS