Home /Research /Real-time prediction of drilling forces inside lunar regolith based on recurrent neural networks
LEARNING

Real-time prediction of drilling forces inside lunar regolith based on recurrent neural networks

Jinchang Xu, Xinyue Yuan, Yinliang Zhang, Shuangfei Yu, Yong Pang, Tao Zhang, Kun Xu, Xilun Ding

Year
2022
Citations
13

Keywords

RegolithDrillingMeasurement while drillingComputer scienceArtificial neural networkRobotSampling (signal processing)Artificial intelligenceSimulationEngineering

Related papers

Browse all LEARNING papers