Robotics & Machine Learning Daily News2024,Issue(Feb.5) :71-71.DOI:10.1007/s00521-023-09249-7

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)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :71-71.DOI:10.1007/s00521-023-09249-7

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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Abstract

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.

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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