Počet záznamů: 1
Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks
SYS 0347773 LBL 01894^^^^^2200277^^^450 005 20240103193922.6 014 $a 000284820400031 $2 WOS 014 $a 78049364129 $2 SCOPUS 017 7-
$a 10.1007/978-3-642-15381-5_31 $2 DOI 100 $a 20101004d m y slo 03 ba 101 0-
$a eng 102 $a DE 200 1-
$a Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks 215 $a 8 s. 463 -1
$1 001 cav_un_epca*0347772 $1 010 $a 978-3-642-15380-8 $1 011 $a 0302-9743 $1 200 1 $a Intelligent Data Engineering and Automated Learning - IDEAL 2010 $v S. 251-258 $1 210 $a Berlin $c Springer-Verlag $d 2010 $1 225 $a Lecture Notes in Computer Science $v 6283 $1 702 1 $a Fyfe $b C. $4 340 $1 702 1 $a Tino $b P. $4 340 $1 702 1 $a Garcia-Osorio $b C. $4 340 $1 702 1 $a Yin $b H. $4 340 610 0-
$a surrogate modelling 610 0-
$a RBF networks 610 0-
$a genetic algorithms 610 0-
$a continuous and discrete variables 700 -1
$3 cav_un_auth*0254540 $a Bajer $b L. $y CZ $4 070 $z G 701 -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.
Počet záznamů: 1