Battle Damage Assessment based on Bayesian Network

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.