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Neural networks based approach to enhance space hardware reliability

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dc.contributor.author Zebulum, Ricardo S.
dc.contributor.author Thakoor, Anilkumar
dc.contributor.author Lu, Thomas
dc.contributor.author Franco, Lauro
dc.contributor.author Lin, Tsung Han
dc.contributor.author McClure, S. S.
dc.date.accessioned 2013-10-11T15:59:27Z
dc.date.available 2013-10-11T15:59:27Z
dc.date.issued 2011-08-04
dc.identifier.citation ISSAT International Society of Science and Applied Technologies, Vancouver, Canada, August 4, 2011 en_US
dc.identifier.clearanceno 11-2546
dc.identifier.uri http://hdl.handle.net/2014/43829
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. en_US
dc.subject device modeling en_US
dc.subject neural networks en_US
dc.subject flight hardware designs en_US
dc.title Neural networks based approach to enhance space hardware reliability en_US
dc.type Presentation en_US


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