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

Song Hengjie; Ma Ping; Yang Ming

doi:10.1109/WSC.2005.1574381

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

Song Hengjie^*
, Ma Ping
, Yang Ming

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2005 Winter Simulation Conference
Pages	1228-1233
Number of pages	6
DOIs	https://doi.org/10.1109/WSC.2005.1574381
State	Published - 2005
Event	2005 Winter Simulation Conference - Orlando, FL, United States Duration: 4 Dec 2005 → 7 Dec 2005

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2005
ISSN (Print)	0891-7736

Conference

Conference	2005 Winter Simulation Conference
Country/Territory	United States
City	Orlando, FL
Period	4/12/05 → 7/12/05

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10.1109/WSC.2005.1574381

Cite this

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title = "The application of evaluation method based on HMM for results validity of complex simulation system",

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.",

author = "Song Hengjie and Ma Ping and Yang Ming",

year = "2005",

doi = "10.1109/WSC.2005.1574381",

language = "英语",

isbn = "0780395204",

series = "Proceedings - Winter Simulation Conference",

pages = "1228--1233",

booktitle = "Proceedings of the 2005 Winter Simulation Conference",

note = "2005 Winter Simulation Conference ; Conference date: 04-12-2005 Through 07-12-2005",

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Hengjie, S, Ping, M & Ming, Y 2005, The application of evaluation method based on HMM for results validity of complex simulation system. in Proceedings of the 2005 Winter Simulation Conference., 1574381, Proceedings - Winter Simulation Conference, vol. 2005, pp. 1228-1233, 2005 Winter Simulation Conference, Orlando, FL, United States, 4/12/05. https://doi.org/10.1109/WSC.2005.1574381

The application of evaluation method based on HMM for results validity of complex simulation system. / Hengjie, Song; Ping, Ma ; Ming, Yang.
Proceedings of the 2005 Winter Simulation Conference. 2005. p. 1228-1233 1574381 (Proceedings - Winter Simulation Conference; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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ER -

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

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