RECOGNITION

Award Information

Agency: Department of Defense

Branch: Defense Advanced Research Projects Agency

Contract: N/A

Agency Tracking Number: 4462

Amount: $49,976.00

Phase: Phase I

Program: SBIR

Solicitation Topic Code: N/A

Solicitation Number: N/A

Timeline

Solicitation Year: N/A

Award Year: 1986

Award Start Date (Proposal Award Date): N/A

Award End Date (Contract End Date): N/A

Small Business Information

SYSTRAN FEDERAL CORP.

4126 Linden Ave

Dayton, OH 45432

United States

DUNS: N/A

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

Principal Investigator

Name: DR BARRY DEER
Phone: (513) 252-5601

Business Contact

Phone: () -

Research Institution

N/A

Abstract

THE EVOLUTION OF ADAPTIVE NETWORK TECHNOLOGY HAS PROCEEDED TO A POINT WHERE THEIR UTILIZATION IN SOLVING APPLICATIONS PROBLEMS IS TERMED "ARTIFICIAL INTELLIGENCE". HOWEVER A KEY REMAINING PROBLEM REQUIRES FOCUSING ON ALGORITHM DEVELOPMENT WHICH CAN LEARN DURING ACTUAL OPERATION AND THROUGH EXPERIENCE. IN THIS SBIR WE PROPOSE RESEARCH TO ENHANCE A PROTOTYPE ADAPTIVE-NETWORK PATTERN RECOGNITION SYSTEM DESIGNED BY SYSTRAN UNDER AN AIR FORCE SUPPORTED RESEARCH PROGRAM. ADAPTIVE NETWORKS ARE AN ALTERNATIVE APPROACH TO AI WHICH MODEL BIOLOGICAL LEARNING SYSTEMS AND HAVE BEEN DEMONSTRATED TO LEARN FROM EXPERIENCE WITHOUT ADDITIONAL PROGRAMMING. THE TASKS SET FORTH IN THE STATEMENT OF WORK WILL ADVANCE A PATTERN RECOGNIZING ADAPTIVE NETWORK FOR FAST-REAL TIME PROCESSING.

* Information listed above is at the time of submission. *

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