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A validation methodology forai simulation models

  • Fei Liu*
  • , Ping Ma
  • , Ming Yang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increased dependence on Artificial Intelligent (AI) simulation models leads to the key question - how accurate and reliable are the AI simulation models? Traditional approaches to validation of AI simulation models are mostly based on subjective expert evaluation. The lack of well-established validation techniques and methods hampers the development of AI simulation models. Thus a validation methodology for AI simulation models is developed, in which a new AI simulation model validation approach is recommended and AI simulation model validation methods are discussed.

Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages4083-4088
Number of pages6
StatePublished - 2005
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005

Publication series

Name2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/0521/08/05

Keywords

  • Artificial Intelligent (AI) simulation model
  • Validation approach
  • Validation methodology
  • Validation methods

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