| Record ID | ia:isbn_9783642025310 |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/isbn_9783642025310/isbn_9783642025310_marc.xml |
| Download MARC binary | https://www.archive.org/download/isbn_9783642025310/isbn_9783642025310_meta.mrc |
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001 9922095230001661
005 20150423142256.0
008 090905s2010 gw a b 000 0 eng d
010 $a 2009938187
020 $a9783642025310
020 $a3642025315
020 $a9783642025327 (eISBN)
020 $a3642025323 (eISBN)
035 $a(CSdNU)u400034-01national_inst
035 $a(OCoLC)436030907
035 $a(OCoLC)436030907
035 $a(OCoLC)436030907
040 $aBTCTA$cBTCTA$dYDXCP$dBWX$dOCLCQ
049 $aCNUM
050 4 $aQA76.87$b.S49 2010
082 0 $a004
245 00 $aSensitivity analysis for neural networks /$cDaniel S. Yeung ... [et al.].
260 $aHeidelberg ;$aNew York :$bSpringer,$cc2010.
300 $aviii, 86 p. :$bill ;$c24 cm.
440 0 $aNatural computing series,$x1619-7127
504 $aIncludes bibliographical references.
650 0 $aNeural networks (Computer science)
650 0 $aSensitivity theory (Mathematics)
700 1 $aYeung, Daniel S.,$d1946-
947 $fSOET-CIS$hCIRCSTACKS$p$85.14$q1
949 $aQA76.87 .S46 2010$i31786102616122
994 $a92$bCNU
999 $aQA 76.87 .S49 2010$wLC$c1$i31786102616122$lCIRCSTACKS$mNULS$rY$sY $tBOOK$u4/19/2010