SBIR/STTR Research Award

Phase II Learning Machines for Anti Terrorism Applications

Award identifier f3a5caba393f656bf947aa6cd885bb336911d234fe198fb464bb37b570a2fcb0Awarding agency Department of Defense · Navy

Award amount

$749,976

Program and phase

SBIR · Phase II

Award year

2004

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
OCEAN SYSTEMS ENGINEERING CORP.(OSEC)
Proposal award date
2004-02-20
Contract end date
2006-02-20
UEI
ZE9TY38NZB65
Solicitation number
2002.2
Topic code
N02-207/1

Research abstract

The Learning Machine for Anti-Terrorism Applications utilizes a Neural Network architecture to implement a vector-matrix multiplication technique for data pattern recognition. This capability can be used to find potential data of interest within large data sets. A second Learning Machine can be used in conjunction with the results from the first to predict the next event based from a time-window of past events and bound that prediction with a probability (for time dependent data).

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2002–2006). Reported award amounts total $1,875,896. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Contractor profile

PERATON SERVICES & SOLUTIONS INC.

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

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