Self-organizing neural networks for learning air combat maneuvers

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 STRIVECGF. A self- organizing neural network is used for the adaptive CGF to learn and generalize knowledge in an o...

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Bibliographic Details
Main Authors:	TENG, Teck-Hou, TAN, Ah-hwee
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2012
Subjects:	Databases and Information Systems OS and Networks
Online Access:	https://ink.library.smu.edu.sg/sis_research/6801 https://ink.library.smu.edu.sg/context/sis_research/article/7804/viewcontent/Self_organizing_neural_networks.pdf
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Institution:	Singapore Management University
Language:	English

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