Journal of System Simulation
Abstract
Abstract: The fog of war in modern battlefield information big data generated by the judgment of the battlefield commander had a strong interference, which could increase the difficulty of decision-making. The use of reconnaissance and early warning forces is the beginning of mastering the initiative of the battlefield. Intelligent auxiliary investigation command is to achieve this goal. On the basis of the simulation system field data of a certain operations, through extracting the key information of reconnaissance order, combined with establishing the labels of reconnaissance effect, an auxiliary decision model aimed at reconnaissance and early warning is designed. This model is also trained to achieve the effect of an auxiliary decision at the aspects of reconnaissance and early warning.
Recommended Citation
Rui, Guo; He, Xiaoyuan; and feng, Zhu
(2020)
"Construction Method of Reconnaissance Assistant Decision Model,"
Journal of System Simulation: Vol. 29:
Iss.
10, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201710010
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss10/10
First Page
2301
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201710010
Last Page
2308
CLC
TP391.9
Recommended Citation
Guo Rui, He Xiaoyuan, Zhu feng. Construction Method of Reconnaissance Assistant Decision Model[J]. Journal of System Simulation, 2017, 29(10): 2301-2308.
DOI
10.16182/j.issn1004731x.joss.201710010
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons