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Intelligent decision-making modeling for unmanned aerial vehicle based on probability graphical models

机译:基于概率图形模型的无人空中车辆智能决策模型

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Intelligent assistant decision-making system is more and more important in modern war along with high-tech of weapon, complexity of battlefield and quicken of combat rhythm. For the requirement of intelligent and independence of unmanned aerial vehicle, based on the merits and advantage of probability graphical models on uncertainty inference, the tactics decision-making modeling of UAV with probability graphical models was brought forward. The modeling flow and inference algorithm of UAV based on Bayesian inference algorithm has been given out. The method has been tested with a given conditions. The simulation results have showed that the tactics decision-making models could improve the decision-making accuracy and intelligent and the algorithm is simple, perspicuity and apt realization.
机译:智能助理决策制度在现代战争中越来越重要,以及高科技的武器,战场复杂性,并加快战斗节奏。 基于概率图形模型对不确定性推断的优点和优势,提出了概率图形模型的优点和优势,提出了一种与概率图形模型的概率图形模型的优点和优势。 基于贝叶斯推理算法的UV模型流量和推理算法已被发出。 该方法已经用给定的条件进行了测试。 仿真结果表明,策略决策模型可以提高决策精度和智能,算法简单,有明确性和APT实现。

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