SBIR/STTR Research Award
PARALLEL NEURAL MODELS FOR KNOWLEDGE REPRESENTATION
Award amount
$49,878Program and phase
SBIR · Phase IAward year
1988Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- PARASOFT CORPORATION
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- LFN2ND9H69T1
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
BOTH SEQUENTIAL AND PARALLEL VERSIONS OF A MULTI-LAYER PERCEPTRONS MODEL USE TO RECOGNIZE CLOUD TYPES WILL BE IMPLEMENTED IN A LISP PROGRAMMING ENVIRONMENT. THE LEARNING PHASE OF THE MODEL IS COMPUTATIONAL INTENSIVE. THUS, IT IS NATURAL TO IMPLEMENT SUCH A MODEL ON PARALLEL PROCESSORS WHICH PROMISE UNLIMITED INCREASE IN COMPUTING POWER. THE MODEL LEARNS FROM A SMALL SET OF SIMPLE TRAINING SAMPLES OF CLOUD TYPES. IT WOULD BE ABLE TO RECOGNIZE NEW SAMPLES WITH STRUCTURES SIMILAR TO WHAT IS LEARNED AND LABEL THEM WITH THE CORRECT CLASSIFICATION.
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.
- AUTOMATIC TEST DATA GENERATION TOOL FOR LARGE-SCALE SOFTWARE SYSTEMS
- AUTOMATIC TEST DATA GENERATION TOOL FOR LARGE-SCALE SOFTWARE SYSTEMS
- Automatic Creation of Parallel Programs from Ada
- AUTOMATIC PARALLELIZATION TOOL FOR SEQUENTIAL PROGRAMS
- AUTOMATIC PARALLELIZATION TOOL FOR SEQUENTIAL PROGRAMS
Research funding history
8 SBIR/STTR records share this UEI (1988–1995). Reported award amounts total $1,171,532. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense