DocumentCode :
2493164
Title :
The application of backpropagation neural networks to predict the results of combat
Author :
Jacobs, Derya A. ; Hedgepeth, Wm Oliver
Author_Institution :
Old Dominion Univ., Norfolk, VA, USA
fYear :
1994
fDate :
17-19 Oct 1994
Firstpage :
199
Lastpage :
203
Abstract :
The information age changes how US Army decision makers predict future trends. The Army is responding with innovative technology to help it´s planners to understand the complexities of its decisions, and their impacts, as the Army embraces a post Cold War world view. Using neural network technologies is one way to attack this social technical challenge. Several neural networks were developed to predict the outcome of combat battles. The networks were trained with combat battles from a historical database
Keywords :
backpropagation; military computing; military systems; neural nets; US Army; backpropagation neural networks; combat battles; decision makers; historical database; innovative technology; post Cold War; social technical challenge; training; Backpropagation algorithms; Databases; Humans; Humidity; Jacobian matrices; Military computing; Missiles; Modems; Neural networks; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering Management Conference, 1994. 'Management in Transition: Engineering a Changing World', Proceedings of the 1994 IEEE International
Conference_Location :
Dayton North, OH
Print_ISBN :
0-7803-1955-9
Type :
conf
DOI :
10.1109/IEMC.1994.379930
Filename :
379930
Link To Document :
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