Battle Damage Assessment based on Bayesian Network

Zhijun Ma, Quan Shi, Bin Li
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引用次数: 5

Abstract

With increasing tempo of war and complication of battle field, battle damage assessment (BDA) has become more critical to the decision of commander. In the Persian Gulf War, the BDA system of U.S. army couldn't meet the needs of commanders in both accuracy and speed, and badly blocked operations, one of its main reasons was lack of scientific and reasonable assessment model for BDA. According to the fact of BDA and the characters of Bayesian network, paper studies the theory of BDA based on Bayesian network, expatiates upon the modeling of Bayesian decision model for BDA, and puts forward a way to update the model, to enhance the accuracy of assessment.
基于贝叶斯网络的战损评估
随着战争节奏的加快和战场的复杂化,战损评估(BDA)对指挥官的决策越来越重要。在波斯湾战争中,美军的BDA系统在精度和速度上都不能满足指挥员的需要,作战受阻严重,其主要原因之一是缺乏科学合理的BDA评估模型。根据BDA的实际情况和贝叶斯网络的特点,研究了基于贝叶斯网络的BDA理论,阐述了BDA贝叶斯决策模型的建模方法,并提出了一种更新模型的方法,以提高评估的准确性。
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