Self-organizing neural networks for learning air combat maneuvers
This paper reports on an agent-oriented approach for the modeling of adaptive doctrine-equipped computer generated force (CGF) using a commercial-grade simulation platform known as CAE STRIVE®CGF. A self-organizing neural network is used for the adaptive CGF to learn and generalize knowledge in an o...
Main Authors: | , , , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98291 http://hdl.handle.net/10220/12418 |