To obtain access to full text of journal and articles you must register!
- Article name
- NEURAL NETWORK MODEL FOR IDENTIFYING THE STATE OF A SPACE OBJECT BASED ON OPTICAL MEASUREMENTS
- Authors
- Nestechuk A. N., , vka@mil.ru, Military Space Academy named after A. F. Mozayskij, St.-Petersburg, Russia
Shavin A. S., , vka@mil.ru, Military Space Academy named after A. F. Mozayskij, St.-Petersburg, Russia
Khlebnikov S. G., , vka@mil.ru, Military Space Academy named after A. F. Mozayskij, St.-Petersburg, Russia
- Keywords
- data analysis / classification / space object / machine learning / neural network / optical measurements
- Year
- 2022 Issue 1 Pages 37 - 42
- Code EDN
- Code DOI
- 10.52190/1729-6552_2022_1_37
- Abstract
- The article developed a model for identifying the state of a space object based on the results of optical measurements, built on the basis of a neural network. The initial data for the model were obtained using the software module for evaluating non-coordinate information on space objects, the results of testing the developed model are presented. The use of the model for solving the problem of automatic observation and control of the state of space objects is justified.
- Text
- BUY for read the full text of article
- Buy
- 500.00 rub
