26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-1.3.3

PARAMETRIC SYSTEM EFFECTIVENESS ANALYSIS USING ARTIFICIAL NEURAL NETWORKS FOR BATTLE MANAGEMENT

P. T. Biltgen, D. N. Mavris
Georgia Institute of Technology, USA

Keywords: Systems-of-Systems, Neural Networks, Battle Management

This paper reviews an application of agent-based modeling and constructive simulation as applied to capability-based assessment of new military aircraft concepts. Methods for generating accurate neural network surrogate models are reviewed. An application of the methodology to visual parametric analysis of a strike aircraft is demonstrated

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