The invention relates to the related field of satellite orbit data, in particular to a range control method of satellite orbit data, a high-level neural network algorithm adopts a GPT-3. 5Turbo model, has extremely high prediction precision and generalization ability, and has certain advantages in prediction and analysis of orbit data compared with the prior art; according to the method, satellite measurement data can be quickly acquired and accurately processed by using an algorithm of a high-level neural network, a real-time control effect is achieved, meanwhile, the cost of measurement equipment and control equipment can be reduced, and the control efficiency can be improved.
本发明涉及卫星轨道数据相关领域,具体为一种卫星轨道数据的范围控制方法,本发明所述的高级神经网络算法采用GPT‑3.5Turbo模型,其具有极高的预测精度和泛化能力,在轨道数据的预测和分析相比现有技术具有一定优势;通过利用高级神经网络的算法,可以快速获取和准确处理卫星测量数据,达到实时控制的效果,同时,该方法可以降低测量设备和控制设备的成本,提高控制效率。
Method for controlling range of satellite orbit data
一种卫星轨道数据的范围控制方法
2023-10-03
Patent
Electronic Resource
Chinese
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