Journal of System Simulation
Abstract
Abstract: A large amount of result data are produced by complex system simulation. These data types are diverse and complex. Usually they cannot be used directly. The inner pattern can only be found by effective evaluation. Based on the characteristics of complex combat simulation results, this paper utilizes the Principal Component Analysis method to reduce the dimension of data analysis and explore the relationship between the system input data and output data. The key influence factors of the measure of force effectiveness is found. The application verification is done by typical examples. The selected principle factors are explored in deepth to verify the effectiveness of the method. The strategy can be referred by other peer.
Recommended Citation
Ju, Rusheng; Cai, Zimin; Mei, Yang; and Song, Wang
(2019)
"Evaluation Method of Simulation Results Based on Principal Component Analysis,"
Journal of System Simulation: Vol. 31:
Iss.
12, Article 15.
DOI: 10.16182/j.issn1004731x.joss.19-0126
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/15
First Page
2678
Revised Date
2019-05-13
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0126
Last Page
2684
CLC
TP391.9
Recommended Citation
Ju Rusheng, Cai Zimin, Yang Mei, Wang Song. Evaluation Method of Simulation Results Based on Principal Component Analysis[J]. Journal of System Simulation, 2019, 31(12): 2678-2684.
DOI
10.16182/j.issn1004731x.joss.19-0126
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