You are here

A HYBRID NEURAL NETWORK/EXPERT SYSTEM ENVIRONMENT

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: 16943
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1991
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
55 Wheeler St
Cambridge, MA 02138
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 () -
Business Contact
Phone: () -
Research Institution
N/A
Abstract

THE INTEGRATION OF ARTIFICIAL NEURAL NETWORKS (ANNS) AND KNOWLEDGE-BASED EXPERT SYSTEMS IS AN IDEAL STEP IN THE DEVELOPMENT OF INTELLIGENT SYSTEMS. IN GENERAL, THE TWO METHODS COMPLEMENT EACH OTHER, WITH THE ANNS PROVIDING SOFT CONSTRAINTS AND EXPERT SYSTEMS, HARD CONSTRAINTS. SPECIFICALLY, ANNS PERFORM NONLINEAR FUNCTIONS, PATTERN RECOGNITION, FAULT TOLERANCE, AND PARALLEL PROCESSING; EXPERT SYSTEMS INVOLVE LANGUAGE PROCESSING, FORMAL LOGIC, AND RULE INTERPRETATION. THE HYBRID COMBINATION OF ANNS ANDEXPERT SYSTEMS WILL FACILITATE THE AUTOMATION OF VARIOUS SPACE STATION APPLICATIONS WHILE PROVIDING UNSUPERVISED ADAPTABILITY AND REAL-TIME FUNCTIONALITY. THIS PROJECT WILL IDENTIFY AND DEVELOP BASELINE ARCHITECTURE AND REQUIREMENTS SPECIFICATION FOR THE INTEGRATION OF NEURAL NETWORKS AND OF EXPERT SYSTEMS TO FORM A HYBRID SOFTWARE ENVIRONMENT. ADDITIONALLY, STRATEGIES FOR THE IMPLEMENTATION OF INTELLIGENT SYSTEMS WITHIN THE HYBRID ENVIRONMENT WILL BE INVESTIGATED FOR SPACE STATION CONTROL AND SENSOR MONITORING APPLICATIONS. THE INTEGRATION OF ARTIFICIAL NEURAL NETWORKS (ANNS) AND KNOWLEDGE-BASED EXPERT SYSTEMS IS AN IDEAL STEP IN THE DEVELOPMENT OF INTELLIGENT SYSTEMS. IN GENERAL, THE TWO METHODS COMPLEMENT EACH OTHER, WITH THE ANNS PROVIDING SOFT CONSTRAINTS AND EXPERT SYSTEMS, HARD CONSTRAINTS. SPECIFICALLY, ANNS PERFORM NONLINEAR FUNCTIONS, PATTERN RECOGNITION, FAULT TOLERANCE, AND PARALLEL PROCESSING; EXPERT SYSTEMS INVOLVE LANGUAGE PROCESSING, FORMAL LOGIC, AND RULE INTERPRETATION. THE HYBRID COMBINATION OF ANNS ANDEXPERT SYSTEMS WILL FACILITATE THE AUTOMATION OF VARIOUS SPACE STATION APPLICATIONS WHILE PROVIDING UNSUPERVISED ADAPTABILITY AND REAL-TIME FUNCTIONALITY. THIS PROJECT WILL IDENTIFY AND DEVELOP BASELINE ARCHITECTURE AND REQUIREMENTS SPECIFICATION FOR THE INTEGRATION OF NEURAL NETWORKS AND OF EXPERT SYSTEMS TO FORM A HYBRID SOFTWARE ENVIRONMENT. ADDITIONALLY, STRATEGIES FOR THE IMPLEMENTATION OF INTELLIGENT SYSTEMS WITHIN THE HYBRID ENVIRONMENT WILL BE INVESTIGATED FOR SPACE STATION CONTROL AND SENSOR MONITORING APPLICATIONS.

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

US Flag An Official Website of the United States Government