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System Diagnostic Builder - A rule generation tool for expert systems that do intelligent data evaluationConsideration is given to the System Diagnostic Builder (SDB), an automated knowledge acquisition tool using state-of-the-art AI technologies. The SDB employs an inductive machine learning technique to generate rules from data sets that are classified by a subject matter expert. Thus, data are captured from the subject system, classified, and used to drive the rule generation process. These rule bases are used to represent the observable behavior of the subject system, and to represent knowledge about this system. The knowledge bases captured from the Shuttle Mission Simulator can be used as black box simulations by the Intelligent Computer Aided Training devices. The SDB can also be used to construct knowledge bases for the process control industry, such as chemical production or oil and gas production.
Document ID
19930049131
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Nieten, Joseph
(GHG Corp. Houston, TX, United States)
Burke, Roger
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1993
Publication Information
Publication: In: Applications of artificial intelligence 1993: Knowledge-based systems in aerospace and industry; Proceedings of the Meeting, Orlando, FL, Apr. 13-15, 1993 (A93-33126 12-63)
Publisher: Society of Photo-Optical Instrumentation Engineers
Subject Category
Cybernetics
Accession Number
93A33128
Distribution Limits
Public
Copyright
Other

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