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Learning Algorithm Movement Predictor (LAMP) Module

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
37142
Program Year/Program:
1997 / SBIR
Agency Tracking Number:
37142
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
BONN CORP.
1350 E. Flamingo Road, #479 Las Vegas, NV 89119
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1997
Title: Learning Algorithm Movement Predictor (LAMP) Module
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $69,395.00
 

Abstract:

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.

Principal Investigator:

Paul Michael Jones
7027355651

Business Contact:

Small Business Information at Submission:

Bonn Corp.
BONN Corporation Las Vegas, NV 89119

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No