USA flag logo/image

An Official Website of the United States Government

An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
20126
Program Year/Program:
1994 / SBIR
Agency Tracking Number:
20126
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ABTECH CORPORATION
1575 STATE FARM BLVD CHARLOTTESVILLE, VA 22911
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1994
Title: An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for Chaotic Avionics Systems Behavior Prediction
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $94,995.00
 

Abstract:

Ontogenic neural networks, those which automatically discover their topology during synthesis, offer substantial advantages over traditional machine learning techniques. They also have the potential to offer many benefits in several areas of avionics research. Among potential application areas is the ability to predict or forecast the behavior of a seemingly random or chaotic system. This proposal presents an existing ontogenic neural network paradigm - polynomial networks - and discusses both substantial enhancements to its learning algorithm and the development of an evolutionary modeling environment. This will be achieved by implementing system modeling strategies in a production-rule environment using the CLIPS expert system tool. This proposal also discusses a feasibility demonstration for a specific avionics application to clearly demonstrate the utility of the ontogenic paradigm. During Phase I, AbTech will design major enhancements to the existing ontogenic neural network paradigm, implement and deliver a substantial subset of these enhancements, and demonstrate the results of applying the resulting Phase I learning system to a well-defined avionics application. During Phase II, AbTech will implement the full Phase I design and apply the resulting modeling environment to an operational solution of the chaotic avionics system behavior prediction application.

Principal Investigator:

Keith Drake
8049770686

Business Contact:

Small Business Information at Submission:

Abtech Corp
508 Dale Avenue Charlottesville, VA 22903

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No