• Electronics Optics & Control
  • Vol. 20, Issue 12, 22 (2013)
HUAN Jing, TENG Kenan, and TANG Jinguo
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2013.12.006 Cite this Article
    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 Copy Citation Text show less

    Abstract

    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.
    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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