NEURAL NETWORK SOLUTION TO THE WEAPON-TO-TARGET ASSIGNMENT PROBLEM

Award Information
Agency:
Department of Defense
Amount:
$49,986.00
Program:
SBIR
Contract:
N/A
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Missile Defense Agency
Award Year:
1991
Phase:
Phase I
Agency Tracking Number:
15680
Solicitation Topic Code:
N/A
Small Business Information
Positech Inc
125 Oakland Drive, Piedmont, SC, 29673
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 John Fury Christ
 Principal Investigator
 (803) 947-9378
Business Contact
Phone: () -
Research Institution
N/A
Abstract
PRELIMINARY RESEARCH HAS SHOWN THAT A NEURAL NETWORK CAN SOLVE THE WEAPON-TO-TARGET ASSIGNMENT (WTA) PROBLEM -A COMPUTATIONALLY INTRACTABLE PROBLEM. THE NETWORK, SIMULATED ON A LOW COST PARALLEL PROCESSOR IN A PC HOST, HAS PRODUCED THE BEST QUALITY AND FASTEST SOLUTIONS TO A REALISTIC THREAT SCENARIO PUBLISHED TO DATE. THIS APPLICATION, EMPLOYING MORE THAN 46,000 NEURONS HAVING MORE THAN 49 MILLION INTERCONNECTIONS, IS AMONG THE LARGEST NEURAL NETWORKS EVER STUDIED AND REQUIRES ONLY 8 SECONDS FOR CONVERGENCE. A STUDY IS UNDERWAY THAT ON PERFORMANCE ON MUCH LARGER SCENARIOS, EXPLORING THE USE OF GENETIC ALGORITHMS TO BETTER SOLUTION QUALITY, EXTENDING WTA TO ACCOMODATE MORE COMPLICATED THREAT SCENARIOS, AND DEMONSTRATING THE PERFORMANCE OF THE NEURAL NETWORK USING A HIGH PERFORMANCE, LOW COST, NEURAL NETWORK ACCELERATOR.

* information listed above is at the time of submission.

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