首页|Study Results from Shanghai Jiao Tong University Update Understanding of Machine Learning (An Interpretable Machine Learning Model for Trajectory Prediction Based On Nonlinear Dynamics Mechanism Constraints: Applications for Hvs)
Study Results from Shanghai Jiao Tong University Update Understanding of Machine Learning (An Interpretable Machine Learning Model for Trajectory Prediction Based On Nonlinear Dynamics Mechanism Constraints: Applications for Hvs)
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NETL
NSTL
Springer Nature
Current study results on Machine Learning have been published. According to news reporting originating in Shanghai, People's Republic of China, by NewsRx journalists, research stated, “It is challenging for hypersonic vehicles (HVs) with strong nonlinear dynamics characteristics to achieve high-precision trajectory prediction. The un-interpretability of current prediction models and the difficulty in on-orbit data acquisition, high transmission costs and low data integrity bring huge obstacles to the accuracy and reliability of online prediction results.” Financial supporters for this research include Chinese-German Center for Research Promotion, National Natural Science Foundation of China (NSFC), Young Elite Scientists Sponsorship Program by China Association for Science and Technology.
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University
NETL
NSTL
Springer Nature
