Record ID | marc_columbia/Columbia-extract-20221130-004.mrc:623592419:1424 |
Source | marc_columbia |
Download Link | /show-records/marc_columbia/Columbia-extract-20221130-004.mrc:623592419:1424?format=raw |
LEADER: 01424mam a2200325 a 4500
001 1985804
005 20220609043535.0
008 961007t19971997maua b 001 0 eng
010 $a 96044545
020 $a0262024209 (hardcover : alk. paper)
035 $a(OCoLC)ocm35750441
035 $9AMK5600CU
035 $a(NNC)1985804
035 $a1985804
040 $aDLC$cDLC$dOCL$dOrLoB-B
050 00 $aQP356$b.B345 1997
082 00 $a573.8/6/011363$221
100 1 $aBallard, Dana H.$q(Dana Harry),$d1946-$0http://id.loc.gov/authorities/names/n81129638
245 13 $aAn introduction to natural computation /$cDana H. Ballard.
260 $aCambridge, Mass. :$bMIT Press,$c[1997], ©1997.
300 $axxii, 307 pages :$billustrations ;$c26 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aComplex adaptive systems
500 $a"A Bradford book."
504 $aIncludes bibliographical references and index.
505 00 $g1.$tNatural Computation --$g2.$tFitness --$g3.$tPrograms --$g4.$tData --$g5.$tDynamics --$g6.$tOptimization --$g7.$tContent-Addressable Memory --$g8.$tSupervised Learning --$g9.$tUnsupervised Learning --$g10.$tMarkov Models --$g11.$tReinforcement Learning --$g12.$tGenetic Algorithms --$g13.$tGenetic Programming --$g14.$tSummary.
650 0 $aBrain$xComputer simulation.
830 0 $aComplex adaptive systems.
852 00 $boff,psy$hQP356$i.B345 1997