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Comparisons of Experimental Designs and Modeling Approaches for Constructing War-game Meta-models  

Yoo, Kwon-Tae (한국과학기술원 산업공학과)
Yum, Bong-Jin (한국과학기술원 산업공학과)
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Abstract
Computer simulation models are in general quite complex and time-consuming to run, and therefore, a simpler meta-model is usually constructed for further analysis. In this paper, JANUS, a war-game simulator, is used to describe a certain tank combat situation. Then, second-order response surface and artificial neural network meta-models are developed using the data from eight different experimental designs. Relative performances of the developed meta-models are compared in terms of the mean squared error of prediction. Computational results indicate that, for the given problem, the second-order response surface meta-model generally performs better than the neural network, and the orthogonal array-based Latin hypercube design(LHD) or LHD using maximin distance criterion may be recommended.
Keywords
meta-model; Full Factorial Design; Central Composite Design; Latin Hypercube Design; Response Surface Methodology; Artificial Neural Network;
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