A Dialectic Approach to Moving Target Indicator Correlation

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$647,844.00
Award Year:
1998
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
36170
Agency Tracking Number:
36170
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
P.O. Box 14207, Huntsville, AL, 35815
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
A. T. Bevilacqua
(205) 882-6229
Business Contact:
() -
Research Institute:
n/a
Abstract
Bevilacqua Research Corporation (BRC), a woman-owned, small corporation based in Huntsville, AL, and Mystech Associates Inc., of Falls Church, VA, propose to jointly design and develop a unique robust information correlation architecture for MTI data based upon Dialectic (Bounded) Neural Networks. This Phase I effort will utilize the existing Phoenix C4I software as a COTS framework for the Bounded Neural Network architecture to create a robust correlation architecture that can be used for both military and civilian applications where intelligent management of MIT and other types of dynamic data is needed.]The Bounded Neural Network is unique because it allows the use of cognitive (expert) knowledge with neural networks. This hybrid architecture, developed by BRC was tested and demonstrated in 1994 as a smart Battle Damage Assessment tool. Since that time BRC has improved the basic concept through internal reserarch and development to allow it to be appled to other data correlation and management tasks such as MIT correlation.

* information listed above is at the time of submission.

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