首页> 外文期刊>Cosmic research >Prognostication of Technical Conditions for Low-Orbit Spacecraft with the Use of Neural Networks
【24h】

Prognostication of Technical Conditions for Low-Orbit Spacecraft with the Use of Neural Networks

机译:神经网络对低轨道航天器技术条件的预测

获取原文
获取原文并翻译 | 示例
           

摘要

An analysis of the typical external factors of a forecasting background is performed for the case when these factors affect the operation of onboard maintenance systems of low-orbit satellites. Taking into account the formulated requirements for the method of forecasting spacecraft characteristics, we have substantiated and tested a neural network prognostic model.
机译:当这些因素影响低轨道卫星的机载维修系统的运行时,对这些预测因素的典型外部因素进行分析。考虑到对航天器特征预测方法的要求,我们证实并测试了神经网络预测模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号