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Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
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$a 10.1007/978-3-642-13568-2_25 $2 DOI 100 $a 20100806d m y slo 03 ba 101 0-
$a eng 102 $a DE 200 1-
$a Neural Networks as Surrogate Models for Measurements in Optimization Algorithms 215 $a 16 s. 463 -1
$1 001 cav_un_epca*0345992 $1 010 $a 978-3-642-13567-5 $1 011 $a 0302-9743 $1 200 1 $a Analytical and Stochastic Modeling Techniques and Applications $v S. 351-366 $1 210 $a Berlin $c Springer $d 2010 $1 225 $a Lecture Notes in Computer Science $v 6148 $1 702 1 $a Al-Begain $b K. $4 340 $1 702 1 $a Fiems $b D $4 340 $1 702 1 $a Knottenbelt $b W. $4 340 610 0-
$a functions evaluated via measurements 610 0-
$a evolutionary optimization 610 0-
$a surrogate modelling 610 0-
$a neural networks 610 0-
$a boosting 700 -1
$3 cav_un_auth*0100761 $a Holeňa $b Martin $i Oddělení teoretické informatiky $j Department of Theoretical Computer Science $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i. 701 -1
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$3 cav_un_auth*0262974 $a Bajer $b Lukáš $i Oddělení teoretické informatiky $j Department of Theoretical Computer Science $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i.
Number of the records: 1