LEADER 01495oam 2200397 450 001 9910715289903321 005 20210323111815.0 035 $a(CKB)5470000002509121 035 $a(OCoLC)1229160532$z(OCoLC)1237211744 035 $a(OCoLC)995470000002509121 035 $a(EXLCZ)995470000002509121 100 $a20210108j202010 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine learning-based predictive analytics for aircraft engine conceptual design /$fMichael T. Tong 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$dOctober 2020. 215 $a1 online resource (13 pages) $ccolor illustrations 225 1 $aNASA/TM ;$v20205007448 300 $a"October 2020." 300 $a"Prepared for the 24th ISABE Conference (ISABE 2019) sponsored by the International Society for Airbreathing Engines Canberra, Australia, September 22-27, 2019." 320 $aIncludes bibliographical references (pages 9-10). 606 $aAircraft design$2nasat 615 7$aAircraft design. 700 $aTong$b Michael T.$01386751 712 02$aNASA Glenn Research Center, 801 0$bGPO 801 1$bGPO 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910715289903321 996 $aMachine learning-based predictive analytics for aircraft engine conceptual design$93435941 997 $aUNINA