ID |
原文 |
译文 |
39596 |
对计算机生成兵力感知模型进行研究,重点对注意力的形成机制,作用时间,作用方式进行分析,并与传统的感知模型进行比较。 |
The CGF perception model is researched, and the attention mechanism, effective time of attention model is analyzed, compared with the traditional model of perception. |
39597 |
通过对注意力的知识库构建、信息反馈方面进行建模,提出了基于注意力机制的虚拟人感知框架,并在仿真环境中进行实验验证。 |
By modeling the knowledge base and information feedback, a virtual human perception framework based on attention mechanism is proposed, and the experiment is carried out in the simulation environment. |
39598 |
随着机器学习特别是深度学习技术的快速发展,采用学习方法辅助进行军用仿真中计算机生成兵力(Computer Generated Force,CGF)的行为建模,已成为克服传统有限状态机等基于知识工程方法面临的建模效率低,自适应差等问题的重要途径和发展方向。 |
With the rapid development of Machine Learning, especially deep learning, it has become an important way of modeling Computer Generated Force(CGF) behavior by ML methods, which can overcome the challenges of traditional methods. |
39599 |
本文对采用机器学习进行CGF行为建模的应用现状、需求及发展趋势等若干问题进行了系统论述。梳理总结了CGF行为建模中三类典型学习方法的应用现状; |
The existing research and application of three typical learning methods in CGF behavior modeling are discussed, |
39600 |
分析了三类典型军用仿真系统引入学习的优缺点和带来的影响; |
and the effects of introducing learning into different stages of the typical CGF applications are analyzed, |
39601 |
提出CGF系统对学习建模方法的功能和性能需求; |
and the function and performance requirements of CGF behavior modeling using machine learning are proposed. |
39602 |
提出并探讨了该领域未来四个发展趋势和重点研究方向。 |
Four potential research directions in the field for future are proposed. |
39603 |
数字孪生连接物理世界和信息世界,为复杂交通问题的分析与解决提供了新的思路。 |
Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. |
39604 |
在梳理数字孪生基础概念、发展历程和关键技术的基础上,对交通场景数字孪生的研究与应用现状进行综述; |
The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. |
39605 |
结合交通运行的要素特征,从“人—车—路—环境”4个方面对交通场景数字孪生构建亟待突破的关键技术进行分析; |
The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. |