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Neural Networks Based Approach to Enhance Space Hardware ReliabilityNo abstract available
Document ID
20150006793
Acquisition Source
Jet Propulsion Laboratory
Document Type
Presentation
External Source(s)
hdl:2014/43829
Authors
Zebulum, Ricardo S. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Thakoor, Anilkumar (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Lu, Thomas (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Franco, Lauro (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Lin, Tsung Han (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
McClure, S. S. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
April 27, 2015
Publication Date
August 4, 2011
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: International Society of Science and Applied Technologies (ISSAT) International Conference Reliability and Quality in Design
Location: Vancouver, B.C.
Country: Canada
Start Date: August 4, 2011
End Date: August 6, 2011
Sponsors: International Society of Science and Applied Technologies
Distribution Limits
Public
Copyright
Other
Keywords
neural networks
device modeling
flight hardware designs

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