Digital Twin-Enabled Online Battlefield Learning with Random Finite Sets

• Published in: Computational intelligence and neuroscience Vol. 2021; no. 1; p. 5582241
• Main Authors: Wang, Peng, Yang, Mei, Zhu, Jiancheng, Peng, Yong, Li, Ge
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2021; Hindawi Limited
• Subjects: Algorithms; Battlefields; Bayesian analysis; Blockchain; Computer architecture; Cybersecurity; Decision making; Digital twins; Distance learning; Internet; Machine learning; Manufacturing; Mathematical models; New technology; Real time; Sensors; Simulation; Statistical inference; Unmanned ground vehicles

The digital twin is becoming the most promising emerging technology in the field of unmanned combat and has the potential to innovate future combat styles. Online battlefield learning is one of the key technologies for supporting the successful application of digital twin in unmanned combat. Since t...