Self-organizing neural networks for learning air combat maneuvers

• Main Authors: Teng, Teck-Hou, Tan, Ah-Hwee, Tan, Yuan-Sin, Yeo, Adrian
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/98291; http://hdl.handle.net/10220/12418
• Institution: Nanyang Technological University

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...