SBIR/STTR Research Award

SOFTWARE TOOLS FOR NEURAL NETWORK SIMULATORS

Award identifier cab8dbf76c7caf9e3a73061aa562893a0364cb56abba86d7fb52dbbb41ad9bd6Awarding agency Department of Defense · Air Force

Award amount

$285,715

Program and phase

SBIR · Phase II

Award year

1989

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SAM TECHNOLOGY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

WE PROPOSE TO DEVELOP A HIGHLY PORTABLE SET OF C LANGUAGE SOFTWARE TOOLS FOR NN RESEARCH. THE SOFTWARE TOOLS WILL ALLOW SPECIFICATION OF THREE GENERIC TYPES OF NN ARCHITECTURES: (1) LAYERED NETWORKS WITHOUT FEEDBACK (FOR BENCHMARK COMPARISONS); (2) LAYERED NETWORKS WITH FEEDBACK BUT WITHOUT OSCILLATION; AND (3) OSCILLATORY NETWORKS. TO FACILITATE NN ALGORITHM DEVELOPMENT AND EVALUATION, A DATA SET SIMULATOR WILL ALLOW SPECIFICATION OF MULTI-CLASS TEST DATA WITH USER-SPECIFIED TIME-VARYING SIGNAL AND NOISE CHARACTERISTICS.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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