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

被引：0

作者：

Song, HJ ^{[1
]}

Yang, M ^{[1
]}

Wang, ZC ^{[1
]}

机构：

[1] Harbin Inst Technol, Simulat Res Ctr, Harbin 150001, Peoples R China

来源：

Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年

关键词：

complex simulation system; results validity; HMM; evaluation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：4616 / 4620

页数：5