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100   $a20070529d2001      ua             0
101 0 $aeng
135   $aurmn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aPredicting diameter distributions of longleaf pine plantations$b[electronic resource] $ea comparison between artificial neural networks and other accepted methodologies /$fDaniel J. Leduc ... [and others]
210  1$aAsheville, NC :$cU.S. Dept. of Agriculture, Forest Service, Southern Research Station,$d[2001]
215   $a18 pages $cdigital, PDF file
225 1 $aResearch paper SRS ;$v25
300   $aTitle from title screen (viewed May 24, 2007)
300   $a"September 2001"--T.p. verso.
320   $aIncludes bibliographical references (pages 17-18).
517   $aPredicting diameter distributions of longleaf pine plantations 
606   $aLongleaf pine$xGrowth$xMathematical models
606   $aForests and forestry$xMeasurement$xMathematical models
606   $aNeural networks (Computer science)
615  0$aLongleaf pine$xGrowth$xMathematical models.
615  0$aForests and forestry$xMeasurement$xMathematical models.
615  0$aNeural networks (Computer science)
701   $aLeduc$b Daniel J.$f1959-$01402538
712 02$aUnited States.$bForest Service.$bSouthern Research Station.
801  0$bGPO
801  1$bGPO
801  2$bGPO
906   $aBOOK
912   $a9910695855803321
996   $aPredicting diameter distributions of longleaf pine plantations$93473295
997   $aUNINA