Research on Submarine Attack Decision based on Bayesian Network

Peng Han-guo · Fire Control and Command Control · 2009

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 how to use the Bayesian network for the Submarine Attack Decision systems was showed by an example.

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