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

Fang Yuan, Junqiang Yang, Qinghui Zhang, Jun Wang
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Abstract

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.
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模拟对抗训练关键技术及系统架构研究与设计
针对模拟对抗训练过程中存在的训练场景不真实、训练代理不智能、数据交互难等问题,本文将图像处理、神经网络、GBB(通用黑板)等技术与系统仿真技术相结合,围绕真实复杂环境建模技术、对抗代理建模技术、多模型数据交互技术进行研究,并提出了切实可行的解决方案。在此基础上,设计了集训练管理、场景开发、资源管理于一体的仿真对抗训练系统,为构建沉浸式、高强度、敏捷性的交互对抗训练环境提供了可行的思路和参考。
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