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001 ocn986216876;

003 OCoLC;

005 20170908134757.0;

006 m o d f ;

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

008 170508e200208 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 1.15:211811;

100 1 a| Jules, Kenol,e| author.?| UNAUTHORIZED;

245 10 a| Artificial neural networks applications :b| from aircraft design optimization to orbiting spacecraft on-board environment monitoring /c| Kenol Jules, Paul P. Lin.;

246 30 a| From aircraft design optimization to orbiting spacecraft on-board environment monitoring;

264 1 a| Cleveland, Ohio :b| National Aeronautics and Space Administration, Glenn Research Center,c| August 2002.;

300 a| 1 online resource (9 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| 2002-211811;

500 a| "August 2002.";

500 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.";

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 4-5).;

513 a| Technical memorandum.;

536 a| Sponsored by the National Aeronautics and Space Administrationd| WU-400-35-4C-00d| E-13505;

588 a| Description based on online resource; title from PDF title page (NASA, viewed May 8, 2017).;

650 7 a| Design optimization.2| nasat;

650 7 a| Neural nets.2| nasat;

650 7 a| Aircraft design.2| nasat;

650 7 a| Aircraft engines.2| nasat;

650 7 a| Aircraft intelligence.2| nasat;

650 7 a| Propulsion system configuation.2| nasat;

700 1 a| Lin, Paul P.,e| author.=| ^A1195917;

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

776 08 i| Print version:t| Artificial neural networks applications: from aircraft design optimization to orbiting spacecraftw| (OCoLC)58928098;

776 08 i| Microfiche version:a| Jules, Kenol.t| Artificial neural networks applicationsw| (OCoLC)55957075;

830 0 a| NASA technical memorandumv| 2002-211811.=| ^A467613;

856 40 u| https://purl.fdlp.gov/GPO/LPS51539;

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

596 a| 1;

998 a| 4706845;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4706845-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 6/13/2017x| EDOCUMENTz| JERESOURCE;

Artificial neural networks applications : from aircraft design optimization to orbiting spacecraft on-board environment monitoring / Kenol Jules, Paul P. Lin.

Author/creator	Jules, Kenol author.
Other author	Lin, Paul P., author.
Other author	NASA Glenn Research Center, issuing body.
Format	Electronic
Publication	Cleveland, Ohio : National Aeronautics and Space Administration, Glenn Research Center, August 2002.
Description	1 online resource (9 pages) : illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/LPS51539

Portion of title	From aircraft design optimization to orbiting spacecraft on-board environment monitoring
Series	NASA/TM ; 2002-211811 NASA technical memorandum 2002-211811. ^A467613
General note	"August 2002."
General note	"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."
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 4-5).
Report note	Technical memorandum.
Funding information	Sponsored by the National Aeronautics and Space Administration WU-400-35-4C-00 E-13505
Source of description	Description based on online resource; title from PDF title page (NASA, viewed May 8, 2017).
Issued in other form	Print version: Artificial neural networks applications: from aircraft design optimization to orbiting spacecraft
Issued in other form	Microfiche version: Jules, Kenol. Artificial neural networks applications
GPO item number	0830-D (online)
Govt. docs number	NAS 1.15:211811

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Artificial neural networks applications : from aircraft design optimization to orbiting spacecraft on-board environment monitoring / Kenol Jules, Paul P. Lin.

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