The application of evaluation method based on HMM for results validity of complex simulation system
Hengjie Song, Ming Hui Yang, Wang Zi-cai · 2005
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.