An Investigation of Alternative Metamodels for the Theater Simulation of Airbase Resources Model

Abstract

This study is an exploratory investigation into the development of metamodels of a particular Theater Simulation of Airbase Resources (TSAR) simulation model. Techniques applicable to the development of metamodels from a simulation using an orthogonal two-level fractional factorial experimental design are discussed. The experimental design is found to limit the metamodel form to polynomial linear least squares regression models, and also to greatly simplify the process of building regression models. Using the simulation results from previous research, alternate metamodels are proposed for both the prediction of sorties generated by the airbase system, as modeled by the simulation; and to assist in understanding and explaining the relationships between airbase resource levels, their interactions, and sorties generated. The metamodels developed for prediction are found to be substantially different from the metamodels for explanation. While unable to develop metamodels for explanation significantly different from the metamodels from the previous research, this research confirms that the existing metamodels are the best possible models that meet the chosen selection criteria. Several lessons pertaining to the metamodeling process for large scale simulations using similar experimental designs are proposed. A flexible manual alternative to computerized model reduction techniques is also proposed. Metamodels, Linear regression analysis, Computerized.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA276271

Entities

People

  • Alistair G. Dally

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Attrition
  • Computational Science
  • Data Science
  • Data Sets
  • Databases
  • Experimental Design
  • Factorial Design
  • Information Science
  • Knowledge Management
  • Mathematical Models
  • Plastic Explosives
  • Predictive Modeling
  • Regression Analysis
  • Simulations
  • Statistics

Readers

  • Computational Modeling and Simulation