Tools

LEADER 02642cam a2200481Ii 4500

001 on1013466395;

003 OCoLC;

005 20171129125723.0;

006 m o d f ;

007 cr b||||||||||;

008 171129e200103 ohua obt f000 0 eng d;

040 a| GPOb| enge| rdae| pnc| GPOd| MvI;

049 a| ERE#;

074 a| 0830-D (online);

086 0 a| NAS 1.15:210812;

100 1 a| Decker, A. J.,e| author.?| UNAUTHORIZED;

245 10 a| Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components /c| A.J. Decker.;

264 1 a| Cleveland, Ohio :b| National Aeronautics and Space Administration, Glenn Research Center,c| March 2001.;

300 a| 1 online resource (11 pages) :b| illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| NASA/TM ;v| 2001-210812;

500 a| "March 2001.";

500 a| "Prepared for the 12th Nondestructive Evaluation Subcommittee, 21st Rocket Nozzle Technology Subcommittee and 34th Structures and Mechanical Behavior Subcommittee Joint Meeting sponsored by the Joint Army, Navy, NASA Air Force Interagency Propulsion Committee, Cocoa Beach, Florida, March 26-30, 2001.";

500 a| "Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field"--Report documentation page.;

500 a| GPO Cataloging Record Distribution Program (CRDP).;

504 a| Includes bibliographical references (pages 10-11).;

513 a| Technical memorandum.;

536 a| Sponsored by the National Aeronautics and Space Administrationd| WU-323-78-00-00d| E-12727;

588 a| Description based on online resource; title from PDF title page (NASA, viewed Nov. 29, 2017).;

650 7 a| Neural nets.2| nasat;

650 7 a| Structural failure.2| nasat;

650 7 a| Damage.2| nasat;

710 2 a| NASA Glenn Research Center,e| issuing body.=| ^A420740;

776 08 i| Print version:t| Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled componenw| (OCoLC)639929403;

776 08 i| Microfiche version:a| Decker, A. J.t| Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled componentsw| (OCoLC)51650822;

830 0 a| NASA technical memorandumv| 2001-210812.=| ^A467613;

856 40 u| https://purl.fdlp.gov/GPO/LPS26893;

949 a| Click on web addressw| asish| joyner94;

596 a| 1;

998 a| 4792619;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4792619-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 12/8/2017x| EDOCUMENTz| JERESOURCE;

Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components / A.J. Decker.

Author/creator	Decker, A. J. author.
Other author	NASA Glenn Research Center, issuing body.
Format	Electronic
Publication	Cleveland, Ohio : National Aeronautics and Space Administration, Glenn Research Center, March 2001.
Description	1 online resource (11 pages) : illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/LPS26893

Series	NASA/TM ; 2001-210812 NASA technical memorandum 2001-210812. ^A467613
General note	"March 2001."
General note	"Prepared for the 12th Nondestructive Evaluation Subcommittee, 21st Rocket Nozzle Technology Subcommittee and 34th Structures and Mechanical Behavior Subcommittee Joint Meeting sponsored by the Joint Army, Navy, NASA Air Force Interagency Propulsion Committee, Cocoa Beach, Florida, March 26-30, 2001."
General note	"Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field"--Report documentation page.
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (pages 10-11).
Report note	Technical memorandum.
Funding information	Sponsored by the National Aeronautics and Space Administration WU-323-78-00-00 E-12727
Source of description	Description based on online resource; title from PDF title page (NASA, viewed Nov. 29, 2017).
Issued in other form	Print version: Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled componen
Issued in other form	Microfiche version: Decker, A. J. Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components
GPO item number	0830-D (online)
Govt. docs number	NAS 1.15:210812

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components / A.J. Decker.

Click here for more information about this title

Availability