Research and design of key technology and system architecture on simulation confrontation training

Fang Yuan, Junqiang Yang, Qinghui Zhang, Jun Wang

Advances in Engineering Technology Research(2023)

引用 0|浏览1
暂无评分
摘要
Aiming at the problems of unreal training scenes, unintelligent training agents and difficult data interaction in the process of simulation confrontation training, this paper combines image processing, neural network, GBB(general blackboard) technologies with system simulation technology, research around realistic complex environment modeling technology, confrontation agents modeling technology, and multi-model data interaction technology, then puts forward practical solutions. On this basis, a simulation confrontation training system integrating training management, scene development and resource management is designed, which provides a feasible idea and reference for the construction of an immersive, high-intensity and agile interactive confrontation training environment.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要