| Record ID | marc_columbia/Columbia-extract-20221130-012.mrc:147103255:1902 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-012.mrc:147103255:1902?format=raw |
LEADER: 01902cam a2200349Ia 4500
001 5686389
005 20221121202142.0
008 060616s2006 nyua b 001 0 eng d
016 7 $a979827884$2GyFmDB
020 $a0387312390 (hd.bd.)
024 3 $a9780387312392
035 $a(OCoLC)ocm70132603
035 $a(NNC)5686389
035 $a5686389
040 $aOHX$cOHX$dBAKER$dMIA$dIXA$dOrLoB-B
072 7 $aQA$2lcco
090 $aQA76.618$b.N55 2006
100 1 $aNikolaev, Nikolay Y.$0http://id.loc.gov/authorities/names/nb2006014774
245 10 $aAdaptive learning of polynomial networks :$bgenetic programming, backpropagation and Bayesian methods /$cNikolay Y. Nikolaev, Hitoshi Iba.
260 $aNew York :$bSpringer,$c2006.
300 $axiv, 316 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aGenetic and evolutionary computation
504 $aIncludes bibliographical references (p. [295]-311) and index.
505 00 $g1.$tIntroduction -- $g2.$tInductive genetic programming -- $g3.$tTree-like PNN representations -- $g4.$tFitness functions and landscapes -- $g5.$tSearch navigation -- $g6.$tBackpropagation techniques -- $g7.$tTemporal backpropagation -- $g8.$tBayesian inference techniques -- $g9.$tStatistical model diagnostics -- $g10.$tTime series modelling -- $g11.$tConclusions.
650 0 $aEvolutionary computation.$0http://id.loc.gov/authorities/subjects/sh95003989
650 0 $aNeural networks (Computer science)$0http://id.loc.gov/authorities/subjects/sh90001937
650 0 $aBayesian statistical decision theory.$0http://id.loc.gov/authorities/subjects/sh85012506
700 1 $aIba, Hitoshi.$0http://id.loc.gov/authorities/names/nb2006014775
830 0 $aGenetic and evolutionary computation series.$0http://id.loc.gov/authorities/names/no2006081383
852 00 $boff,eng$hQA76.618$i.N55 2006g