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LEADER 01829cam 2200409Ka 4500

001 ocn137236748;

003 OCoLC;

005 20141208173722.0;

006 m d f ;

008 070529s2001 ncu s f000 0 eng d;

035 a| (Sirsi) o137236748;

035 a| (OCoLC)137236748;

040 a| GPOc| GPOd| MvId| UtOrBLW;

049 a| ERE#;

074 a| 0083-B (online);

086 0 a| A 13.78:SRS-25;

245 00 a| Predicting diameter distributions of longleaf pine plantations :b| a comparison between artificial neural networks and other accepted methodologies /c| Daniel J. Leduc [and others].;

260 a| Asheville, NC :b| U.S. Dept. of Agriculture, Forest Service, Southern Research Station,c| [2001];

300 a| 18 pages :b| digital, PDF file.;

336 a| text2| rdacontent;

337 a| computer2| rdamedia;

338 a| unspecified2| rdacarrier;

490 1 a| Research paper SRS ;v| 25;

500 a| Title from title screen (viewed May 24, 2007).;

500 a| "September 2001"--T.p. verso.;

538 a| Mode of access: Internet from the Forest Service web site. Address as of 5/24/07: http://www.srs.fs.usda.gov/pubs/rp/rp%5Fsrs025.pdf ; current access is available via PURL.;

650 0 a| Longleaf pinex| Growthx| Mathematical models.=| ^A159338;

650 0 a| Forests and forestryx| Measurementx| Mathematical models.=| ^A60145;

650 0 a| Neural networks (Computer science)=| ^A263002;

700 1 a| Leduc, Daniel J.?| UNAUTHORIZED;

710 1 a| United States.b| Forest Service.b| Southern Research Station.=| ^A407095;

830 0 a| Research paper SRS ;v| 25.=| ^A425150;

856 40 u| https://purl.fdlp.gov/GPO/LPS81895;

998 a| 1087459;

998 a| u1087459;

596 a| 1;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| MQ1914872d| 8/7/2007l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 7/12/2007x| EDOCUMENTz| JERESOURCEo| .STAFF. 0;

Predicting diameter distributions of longleaf pine plantations : a comparison between artificial neural networks and other accepted methodologies / Daniel J. Leduc [and others].

Other author	Leduc, Daniel J.
Other author	United States. Forest Service. Southern Research Station.
Format	Electronic
Publication Info	Asheville, NC : U.S. Dept. of Agriculture, Forest Service, Southern Research Station, [2001]
Description	18 pages : digital, PDF file.
Supplemental Content	https://purl.fdlp.gov/GPO/LPS81895
Subjects	Longleaf pine--Growth. --Mathematical models. Forests and forestry--Measurement. --Mathematical models. Neural networks (Computer science)

Series	Research paper SRS ; 25 Research paper SRS ; 25. ^A425150
General note	Title from title screen (viewed May 24, 2007).
General note	"September 2001"--T.p. verso.
Technical details	Mode of access: Internet from the Forest Service web site. Address as of 5/24/07: http://www.srs.fs.usda.gov/pubs/rp/rp%5Fsrs025.pdf ; current access is available via PURL.
GPO item number	0083-B (online)
Govt. docs number	A 13.78:SRS-25

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Predicting diameter distributions of longleaf pine plantations : a comparison between artificial neural networks and other accepted methodologies / Daniel J. Leduc [and others].

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