NEURAL NETWORKS FOR AIR TRAFFIC CONTROL

Award Information
Agency:
Department of Transportation
Branch
n/a
Amount:
$50,000.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
9295
Agency Tracking Number:
9295
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4241 Jutland Drive, San Diego, CA, 92117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
DAN GREENWOOD
() -
Business Contact:
() -
Research Institute:
n/a
Abstract
POWERFUL NEW COMPUTATIONAL DEVICES AND METHODS BASED ON BIO-LOGICAL PRINCIPLES OF INFORMATION PROCESSING ARE CURRENTLY BEING APPLIED IN PROBLEMS IN PATTERN RECOGNITION COMBINATORIAL OPTIMIZATION, EVIDENTIAL KNOWLEDGE PROCESSING AND IN MANYOTHER PROBLEMS WHICH HAVE RESISTED SOLUTIONS USING CONVEN- TIONAL ALGORITHMIC APPROACHES. THE RESEARCH PROPOSED HEREININVOLVES EXPLORING THE FEASIBILITY OF APPLYING NEURAL NET- WORKS TO AIR TRAFFIC CONTROL PROBLEMS SUCH AIR TRAFFIC FLOW CONTROL OPTIMIZATION, AND CONFLICT PREDICTION AND RESOLUTIONNETROLOGIC AND ITS SUBCONTRACTORS, TRW AND BALL CORPORATION,WILL PERFORM A TRADE-OFF ANALYSIS WHICH IDENTIFIES THE CANDIDATE AIR TRAFFIC CONTROL PROBLEMS WHICH ARE MOST LIKELY TO SOLVABLE BY NEURAL NETWORK APPROACHES. LIMITED NEUROCOMPU- TER EXPERIMENTATION WILL BE PERFORMED IN PHASE I SO THAT THENETWORKS BEST SUITED VERY MORE EXTENSIVE DEMONSTRATRATIONS AND TESTS IN A PHASE II PROGRAM CAN BE CONFIGURED.

* information listed above is at the time of submission.

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