Predicting diameter distributions of longleaf pine plantations : a comparison between artificial neural networks and other accepted methodologies /

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Bibliographic Details
Imprint:	Asheville, NC : U.S. Dept. of Agriculture, Forest Service, Southern Research Station, [2001]
Description:	18 pages : digital, PDF file.
Language:	English
Series:	Research paper SRS ; 25 Research paper SRS ; 25.
Subject:	Longleaf pine -- Growth -- Mathematical models. Forests and forestry -- Measurement -- Mathematical models. Neural networks (Computer science)
Format:	E-Resource U.S. Federal Government Document Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/6570803

Hidden Bibliographic Details
Varying Form of Title:	Comparison between artificial neural networks and other accepted methodologies
Other authors / contributors:	Leduc, Daniel J., 1959- United States. Forest Service. Southern Research Station.
Notes:	Title from title screen (viewed May 24, 2007) "September 2001"--T.p. verso. Includes bibliographical references (pages 17-18). 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.
Other form:	Print version: Predicting diameter distributions of longleaf pine plantations
GPO item no.:	0083-B (online)
Govt.docs classification:	A 13.78:SRS-25

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