LEADER 01480oam  2200409I  450 
001 9910702604903321
005 20150806110903.0
035   $a(CKB)5470000002430145
035   $a(OCoLC)832139089
035   $a(EXLCZ)995470000002430145
100   $a20150710d2012      ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplication of autoassociative neural networks to health monitoring of the CAT 7 diesel engine /$fby Andrew J. Bayba, David N. Siegel, and Kwok Tom
210  1$aAdelphi, MD :$cArmy Research Laboratory,$d[2012]
215   $a1 online resource (iv, 16 pages) $ccolor illustrations
300   $aTitle from title screen (viewed on Aug. 4, 2015).
300   $a"February 2012."
300   $a"ARL-TN-0472."
606   $aDiesel motor$xMaintenance and repair
606   $aNeural networks (Computer science)
615  0$aDiesel motor$xMaintenance and repair.
615  0$aNeural networks (Computer science)
700   $aBayba$b Andrew J.$01393213
702   $aSiegel$b David N$c(Of the U.S. Army Research Laboratory),
702   $aTom$b Kwok
712 02$aU.S. Army Research Laboratory,
801  0$bDTICE
801  1$bDTICE
801  2$bGPO
906   $aBOOK
912   $a9910702604903321
996   $aApplication of autoassociative neural networks to health monitoring of the CAT 7 diesel engine$93534391
997   $aUNINA