The application of evaluation method based on HMM for results validity of complex simulation system

Author

Song, Heng-Jie ; Yang, Ming ; Wang, Zi-cai

Author_Institution

Simulation Res. Center, Harbin Inst. of Technol., China

Volume

8

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4616

Abstract

According to the characteristic of randomization and temporal 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 enhances the clarity of description on scenario and running states of simulation systems, which ultimately implements 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

hidden Markov models; matrix algebra; simulation; statistical analysis; temporal logic; vectors; HMM; complex simulation system; hidden Markov model; multivariate statistical theory; quantificational evaluation criterion; quantitative analysis; randomization characteristic; state vector; temporal logic; Accreditation; Analytical models; Cybernetics; Electronic mail; Hidden Markov models; Logic; Machine learning; Usability; Weapons; Complex simulation system; HMM; evaluation; results validity;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527752

Filename

1527752