Learning Algorithm Movement Predictor (LAMP) Module

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 37142
Amount: $69,395.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1997
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
BONN Corporation, Las Vegas, NV, 89119
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Paul Michael Jones
 (702) 735-5651
Business Contact
Phone: () -
Research Institution
Bonn Corporation (BONN) has chosen to concentrate on researching a methodology that computes target movement prediction in real-time based on data fusion, data correlation, and learning algorithms, with the inhernt capability to accomodate user-definable inputs. BONN Will determine the required static (e.g., operational limitations and capabilities) and dynamic (e.g., weather and orders of battle) factors of enemy unit movement. Data fusion and data correlation algorithms will be evaluated to determine the best tecnique or combinations of techniques that accourately model the static and dynamic states of the targets. BONN engineers believe that a learning technology, such as genetic algorithms, or a combination of more than one technology, such as neural netsand fuzzy logic will best satisfy the constraints of this problem. The target movement analysis, target movement prediction and related soft computing technology information can be used to form a representative, conceptual architecture for the Learning Algorithm Movement Predictor (LAMP) Module. BONN believes that a combination of practical and operational experience with careful knowledge engineering can establish the true nature of the problem and offer useful solutions.

* Information listed above is at the time of submission. *

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