Electronics Optics & Control, Volume. 20, Issue 12, 22(2013)

Neural Network and Evidence Theory Based Improvements on Submarine Search Strategy of CGF

HUAN Jing... TENG Kenan and TANG Jinguo |Show fewer author(s)
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    Since the Computer Generated Force (CGF) can not take full advantage of battlefield information to optimize CGF submarine search strategy in the cooperative antisubmarine combatthe information fusion technology was introduced into the antisubmarine warfare simulation based on the effective interaction of the information between CGF.The basic confidence assignment of the evidence information was obtained using Back Propagation (BP) artificial neural networkand the information from antisubmarine CGF was synthesized by using the improved DS evidence theory.And thus the antisubmarine CGF mobile strategy was improved.Simulation results show that the introduction of artificial neural network and information fusion technology in antisubmarine CGF submarine search process can improve the antisubmarine efficiency.

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    HUAN Jing, TENG Kenan, TANG Jinguo. Neural Network and Evidence Theory Based Improvements on Submarine Search Strategy of CGF[J]. Electronics Optics & Control, 2013, 20(12): 22

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    Paper Information

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    Received: Jan. 21, 2013

    Accepted: --

    Published Online: Dec. 17, 2013

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2013.12.006

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