LEADER 02121nam  2200517I  450 
001 9910705680603321
005 20170908134757.0
035   $a(CKB)5470000002451588
035   $a(OCoLC)986216876
035   $a(EXLCZ)995470000002451588
100   $a20170508j200208    ua             0
101 0 $aeng
135   $aurbn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial neural networks applications $efrom aircraft design optimization to orbiting spacecraft on-board environment monitoring /$fKenol Jules, Paul P. Lin
210  1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$dAugust 2002.
215   $a1 online resource (9 pages) $cillustrations
225 1 $aNASA/TM ;$v2002-211811
300   $a"August 2002."
300   $a"Prepared for the 2001 Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications sponsored by the North Atlantic Treaty Organization (NATO), Crema, Italy, October 9-20, 2001."
300   $a"Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field"--Report documentation page.
320   $aIncludes bibliographical references (pages 4-5).
517   $aArtificial neural networks applications 
606   $aDesign optimization$2nasat
606   $aNeural nets$2nasat
606   $aAircraft design$2nasat
606   $aAircraft engines$2nasat
606   $aAircraft intelligence$2nasat
606   $aPropulsion system configurations$2nasat
615  7$aDesign optimization.
615  7$aNeural nets.
615  7$aAircraft design.
615  7$aAircraft engines.
615  7$aAircraft intelligence.
615  7$aPropulsion system configurations.
700   $aJules$b Kenol$01398684
702   $aLin$b Paul P.
712 02$aNASA Glenn Research Center,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910705680603321
996   $aArtificial neural networks applications$93462436
997   $aUNINA