Neural networks based approach to enhance space hardware reliability

Zebulum, Ricardo S.; Thakoor, Anilkumar; Lu, Thomas; Franco, Lauro; Lin, Tsung Han; McClure, S. S.

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