TY - GEN
T1 - The validation method of simulation model based on K-means clustering and Fisher discriminant analysis
AU - Jiao, Song
AU - Li, Wei
AU - Yang, Ming
PY - 2013
Y1 - 2013
N2 - Usually, many simulation models of a system are provided. The most credible model should be selected. When the system only has a single output, some classic validation methods can solve the problem. But they become powerless when the system has multiple outputs with different data types. For solving the problem, the feature differences of each kind data were given, the simulation outputs were divided into k kinds of clusters based on K-means clustering, and which cluster the reference output belongs to was judged based on Fisher discriminant analysis. The simulation models whose outputs and reference output are in the same cluster are considered credible, and the model whose output is nearest to the reference output is the most credible one. In the application, the most credible model of the attitude control system of a missile was judged effectively by the method.
AB - Usually, many simulation models of a system are provided. The most credible model should be selected. When the system only has a single output, some classic validation methods can solve the problem. But they become powerless when the system has multiple outputs with different data types. For solving the problem, the feature differences of each kind data were given, the simulation outputs were divided into k kinds of clusters based on K-means clustering, and which cluster the reference output belongs to was judged based on Fisher discriminant analysis. The simulation models whose outputs and reference output are in the same cluster are considered credible, and the model whose output is nearest to the reference output is the most credible one. In the application, the most credible model of the attitude control system of a missile was judged effectively by the method.
KW - Fisher discriminant analysis
KW - K-means clustering
KW - Validation of simulation model
UR - https://www.scopus.com/pages/publications/84893225656
U2 - 10.1109/ICVRV.2013.61
DO - 10.1109/ICVRV.2013.61
M3 - 会议稿件
AN - SCOPUS:84893225656
SN - 9780769551500
T3 - Proceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
SP - 313
EP - 316
BT - Proceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
PB - IEEE Computer Society
T2 - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
Y2 - 14 September 2013 through 15 September 2013
ER -