| Record ID | marc_nuls/NULS_PHC_180925.mrc:267939115:1847 |
| Source | marc_nuls |
| Download Link | /show-records/marc_nuls/NULS_PHC_180925.mrc:267939115:1847?format=raw |
LEADER: 01847cam 2200313 a 4500
001 9919882500001661
005 20150423123322.0
008 940801s1995 maua b 001 0 eng
010 $a 94030749
015 $aGB95-45136
019 $a32743891
020 $a0262011441
035 $a(CSdNU)u55082-01national_inst
035 $a(OCoLC)30971691
035 $a(Sirsi) 01-AAF-8871
040 $aDLC$cDLC$dGZH$dUKM
049 $aCNUM
050 00 $aQP363.3$b.A534 1995
100 1 $aAnderson, James A.
245 13 $aAn introduction to neural networks /$cJames A. Anderson.
260 $aCambridge, Mass. :$bMIT Press,$cc1995.
300 $axi, 650 p. :$bill. ;$c27 cm.
500 $a"A Bradford book."
504 $aIncludes bibliographical references and index.
505 0 $aProperties of single neurons -- Synaptic integration and neuron models -- Essential vector operations -- Lateral inhibition and sensory processing -- Simple matrix operations -- The linear associator: background and foundations -- The linear associator: simulations -- Early network models: the perceptron -- Gradient descent algorithms -- Representation of information -- Applications of simple associators: concept formation and object motion -- Energy and neural networks: Hopfield networks and Boltzmann machines -- Nearest neighbor models -- Adaptive maps -- The BSB model: a simple nonlinear autoassociative neural network -- Associative computation -- Teaching arithmetic to a neural network.
650 0 $aNeural networks (Neurobiology)
948 $a10/13/1999$b10/01/2002
999 $aQP 363.3 A534 1995$wLC$c1$i31786100813440$d7/14/2007$e6/5/2007 $f6/8/2004$g1$lCIRCSTACKS$mNULS$n5$rY$sY$tBOOK$u12/16/1996
999 $aQP 363.3 A534 1995$wLC$c2$i31786100847158$d1/16/2013$e10/31/2005 $f6/8/2004$g1$kLOST-ASSUM$lCIRCSTACKS$mNULS$n4$rY$sY$tBOOK$u4/15/1997