MARC record from Internet Archive

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001 ocm41660991
003 OCoLC
005 20200514020147.0
008 000630s1999 gw a b 001 0 eng
007 ta
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020 $a3527297782$q(acid-free paper)
020 $a9783527297788$q(acid-free paper)
020 $a3527297790$q(alk. paper ;$qpbk.)
020 $a9783527297795$q(alk. paper ;$qpbk.)
035 $a(OCoLC)41660991$z(OCoLC)789708678$z(OCoLC)992303794
050 00 $aQD39.3.E46$bZ88 1999
060 00 $a1999 K-015
060 10 $aQD 39.3.E46$bZ95n 1999
080 $a004.85:54
082 00 $a006.3/2$221
084 $a35.11$2bcl
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100 1 $aZupan, Jure.
245 10 $aNeural networks in chemistry and drug design /$cJure Zupan and Johann Gasteiger.
250 $a2nd ed.
260 $aWeinheim ;$aNew York :$bWiley-VCH,$c℗♭1999.
300 $axxii, 380 pages :$billustrations (some color) ;$c28 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aRevised edition of: Neural networks for chemists. c1993.
504 $aIncludes bibliographical references and index.
505 00 $tDefining the Area --$tLearning from Information --$tGeneral Objectives and Concepts --$tWhat Neural Networks are Good for --$tNotation, Conventions and Abbreviations --$tBeyond a Printed Edition --$tNeuron --$tSynapses and Input Signals --$tWeights --$tLinear Learning Machine --$tTransfer Functions in Neurons --$tBias --$tGraphical Representation of Artificial Neurons --$tEssentials --$tLinking Neurons into Networks --$tOne Layer --$tInput --$tArchitectures --$tHidden Layer; Output Layer --$tGraphical Representation of Neural Networks --$tOne-Layer Networks --$tHopfield Network --$tArchitecture --$tTransfer Function --$tWeight Matrix --$tIteration --$tCapacity of the Hopfield Network --$tAdaptive Bidirectional Associative Memory (ABAM) --$tUnsupervised and Supervised Learning --$tABAM Network --$tLearning Procedure --$tAn Example --$tKohonen Network --$tArchitecture --$tCompetitive Learning --$tMapping from Three to Two Dimensions --$tMultilayer Networks --$tCounter-Propagation --$tTransition from One to Two Layers --$tLookup Table --$tArchitecture --$tSupervised Competitive Learning --$tLearning to Play Tennis --$tCorrelations Among the Variables --$tBack-Propagation of Errors --$tArchitecture --$tLearning by Back-Propagation --$tThe Generalized Delta-Rule --$tLearning Algorithm --$tExample: Tennis Match --$tApplications --$tGeneral Comments on Chemical Applications --$tClassification --$tModeling --$tMapping --$tAssociations; Moving Window --$tClustering of Multi-Component Analytical Data for Olive Oils --$tThe Problem --$tThe Data.
650 0 $aChemistry$xData processing.
650 0 $aNeural networks (Computer science)
650 12 $aModels, Chemical.$0https://id.nlm.nih.gov/mesh/D008956
650 12 $aNeural Networks, Computer.$0https://id.nlm.nih.gov/mesh/D016571
650 22 $aDrug Design.$0https://id.nlm.nih.gov/mesh/D015195
650 4 $aChemistry$xData processing.
650 4 $aNeural networks (Computer science)
650 6 $aChimie clinique$xInformatique.
650 6 $aRe seaux neuronaux (Informatique)
650 7 $aChemistry$xData processing.$2fast$0(OCoLC)fst00853366
650 7 $aNeural networks (Computer science)$2fast$0(OCoLC)fst01036260
650 7 $aNeuronales Netz$2gnd
650 7 $aChemie$2gnd
650 17 $aNeurale netwerken.$2gtt
650 17 $aChemie.$2gtt
650 17 $aGeneesmiddelen.$2gtt
650 7 $aRedes neurais.$2larpcal
650 7 $aQui mica (processamento de dados)$2larpcal
650 7 $aRe seaux neuronaux (informatique)$2ram
650 7 $aChimie$xInformatique.$2ram
650 07 $aNeuronales Netz.$2swd
650 07 $aChemie.$2swd
650 7 $aNevrale nettverk$xKjemisk anvendelse.$2tekord
700 1 $aGasteiger, J.$q(Johann)
700 1 $aZupan, Jure.$tNeural networks for chemists.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/wiley021/00269483.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/description/wiley033/00269483.html
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