| 基于贝叶斯网络的潜艇攻击决策研究 |
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| 引用本文： | 杜毅,黄文斌,彭汉国. 基于贝叶斯网络的潜艇攻击决策研究[J]. 火力与指挥控制, 2009, 0(Z1) |
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| 作者姓名： | 杜毅 黄文斌 彭汉国 |
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| 作者单位： | 海军潜艇学院; |
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| 摘 要： | BN(贝叶斯网)被认为是人工智能研究中不确定性知识表示和推理的重要工具,广泛应用到复杂系统的建模等领域。贝叶斯网络高效的推理算法非常适合解决不确定性军事决策问题,分析了潜艇攻击决策问题的复杂性和不确定性,提出了构建贝叶斯网络进行攻击决策的步骤,通过具体实例,对用贝叶斯网络推理解决潜艇攻击决策问题进行了初步探讨。
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| 关 键 词： | 贝叶斯网络 潜艇攻击决策 命中概率 |
Research on Submarine Attack Decision based on Bayesian Network |
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| DU Yi,HUANG Wen-bin,PENG Han-guo. Research on Submarine Attack Decision based on Bayesian Network[J]. Fire Control & Command Control, 2009, 0(Z1) |
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| Authors: | DU Yi HUANG Wen-bin PENG Han-guo |
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| Affiliation: | Navy Submarine Academy;Qingdao 266071;China |
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| Abstract: | BN(Bayesian Network) is considered an important tool for uncertain knowledge representation and inference in the course of researching artificial intelligence and applied to complex system modeling etc.The efficiently inference arithmetic of BN is very suitable for solving the uncertain martial question of decision.Complexity and uncertainty of the Submarine Attack Decision is analyzed in this paper.The steps on construct a Bayesian networks for the integrated decision were presented.Finally,the process of ... |
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| Keywords: | bayesian network submarine attack decision hit probability |
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