Title :
The application of evaluation method based on HMM for results validity of complex simulation system
Author :
Song, Hengjie ; Ma, Ping ; Yang, Ming
Author_Institution :
Control & Simulation Center, Harbin Inst. of Technol., China
Abstract :
According to the characteristic of randomization and sequential logic in complex simulation systems, a new evaluation method based on hidden Markov model (HMM) is presented, which applies multivariate statistical theory to quantificationally evaluate the results validity of complex simulation system. By importing matrix of observed state vector, the method enhance the clarity of describing scenario and running states of simulation systems, and ultimately implement an exploring approach to quantitative analysis for the results validity. Furthermore, quantificational evaluation criterion of results validity is given and the critical algorithm adopted in the process of quantificational evaluation is discussed in detail.
Keywords :
digital simulation; hidden Markov models; large-scale systems; statistical analysis; complex simulation system; hidden Markov model; multivariate statistical theory; quantificational evaluation; randomization logic; sequential logic; state vector; Accreditation; Analytical models; Hidden Markov models; Logic; Usability; Weapons;
Conference_Titel :
Simulation Conference, 2005 Proceedings of the Winter
Print_ISBN :
0-7803-9519-0
DOI :
10.1109/WSC.2005.1574381
