Journal of System Simulation
Abstract
Abstract: It's always the hot and difficult study point in electronic information equipment test areas of how to evaluate the combat effectiveness of electronic information equipment, the credibility of test environment, the fidelity of combat target simulation in timely and effectively. To solve these problems, the theory of extreme learning machine was analyzed, and the evaluation method based on extreme learning machine was proposed, and the using process of the evaluation method was demonstrated by taking evaluating the operational effectiveness of anti-aircraft gun-missile system as example. Therefore, the conclusion can provide a theoretical reference for the evaluation of combat effectiveness, credibility and fidelity.
Recommended Citation
Cui, Jianling; Wen, Tian; Dai, Huanyao; Bo, Zhou; and Qiao, Huidong
(2020)
"Research on New Evaluation Method Based on Extreme Learning Machine,"
Journal of System Simulation: Vol. 28:
Iss.
1, Article 6.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss1/6
First Page
44
Revised Date
2015-08-04
DOI Link
https://doi.org/
Last Page
50
CLC
TN95
Recommended Citation
Cui Jianling, Tian Wen, Dai Huanyao, Zhou Bo, Qiao Huidong. Research on New Evaluation Method Based on Extreme Learning Machine[J]. Journal of System Simulation, 2016, 28(1): 44-50.
Included in
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