基于神经网络的两岛防空作战智能决策与仿真

Xianguang Liu, Wenfei Wang, Xiaojie Zhang, Han Zhang, Zhihua Song, Zhongliang Zhou
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引用次数: 0

摘要

现代战争的主要特征是信息化。在信息主导的战争中,作战部署行动应考虑到作战信息数据计算分析的最新成果。联合作战国家智能博弈挑战赛旨在优化军内外高水平创新成果,发掘顶尖算法人才,推动智能技术在作战规划与冲锋领域的创新应用。在此竞争背景下,本文建立了基于神经网络的海空联合防御作战决策模型。本文神经网络模型的数据集是基于红蓝双方的对抗模拟。最后,该模型在试验中取得了比传统的基于规则的作战和基于军事专家决策的作战更好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent decision-making based on neural network and simulation in two Islands air defense operation
The main characteristic of modern war is informatization. In information-dominated wars, combat deployment operations should take into account the recent achievements in computational analysis of combat information data. The purpose of the National intelligent Game Challenge of Joint Operation is to optimize the high-level innovation achievements inside and outside the military, to discover the top algorithm talents, and to promote the innovative application of intelligent technologies in the field of combat planning and charge. Within the context of this competition, This paper builds a neural network-based decision-making model of air-sea joint defensive operations. The data set of the neural network model in this paper was based on the confrontation simulations between the red and blue sides. Finally, the proposed model showed better results in the test than the traditional rule-based combat and the combat based on military expert decision.
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