Artificial Neural Systems Application to the Simulation of Air Combat Decision Making
Abstract
The research goals of this project were to ascertain the applicability of Artificial Neural Systems (ANS) technology to expert systems tasks in general and to support the simulation of Air Combat Maneuvering (ACM) decision-making in the training environment. In the experiments conducted under this program, neural networks have aptly displayed their unique capabilities to overcome some of the more difficult aspects of knowledge engineering. ANS approaches have been shown to be capable of producing robust, generalized solutions even under novel circumstances. By capturing and simulating the expertise of human pilots in a neural network, students may be provided with expert training devices which may come very close to the look and feel of real air-to-air combat. It is expected that ANS technology will continue to provide new solutions to the simulation of human performance for training purposes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1992
- Accession Number
- ADA251035
Entities
People
- Jeffrey J. Roorda
- Michael X. Crowe