English(EN) PoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets

新的PoKER模型使用机器学习来估计导弹杀伤概率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

一种名为PoKER的新机器学习模型已被开发出来，用于估计空对空导弹的杀伤概率。该模型超越了传统方法，整合了目标的随机行为和导弹的失命中距离，以提供更准确的预测。PoKER考虑了战斗部杀伤力、目标和射手的方向以及交战条件等因素来量化成功概率，为超视距（BVR）空战决策提供了潜在的改进。 AI

影响该模型可以通过提供更准确的杀伤概率估计来增强空战中的决策制定。

排序理由该集群包含一篇详细介绍新机器学习模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.AI TIER_1 English(EN) · Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Maximo, Takashi Yoneyama · 2026-10-26 04:00

PoKER：一种用于空对空导弹的击杀概率估计率模型，利用机器学习处理随机目标

arXiv:2610.32864v1 Announce Type: cross Abstract: This work introduces PoKER, a novel probabilistic model engineered to optimize missile launch effectiveness in air-to-air scenarios, specifically within Beyond Visual Range (BVR) air combat. Unlike conventional Weapon Engagement Z…