Number of the records: 1  

Kernel Networks for Function Approximation

  1. SYS0461978
    LBL
      
    01000a^^22220027750^450
    005
      
    20240103212525.1
    014
      
    $a 84984783457 $2 SCOPUS
    014
      
    $a 000399003100022 $2 WOS
    017
    70
    $a 10.1007/978-3-319-44188-7_22 $2 DOI
    100
      
    $a 20160714d m y slo 03 ba
    101
      
    $a eng
    102
      
    $a CH
    200
    1-
    $a Kernel Networks for Function Approximation
    215
      
    $a 12 s. $c P
    300
      
    $a UT WOS / EID Scopus není v RIV
    463
    -1
    $1 001 cav_un_epca*0460703 $1 010 $a 978-3-319-44187-0 $1 011 $a 1865-0929 $1 200 1 $a Engineering Applications of Neural Networks $f red. C. Jayne, L. Iliadis $v S. 295-306 $1 210 $a Cham $c Springer $d 2016 $1 225 $a Communications in Computer and Information Science $v 629 $1 702 1 $4 340 $a Jayne $b C. $1 702 1 $4 340 $a Iliadis $b L.
    610
      
    $a kernel networks
    610
      
    $a convolution
    610
      
    $a universal approximation
    700
    -1
    $3 cav_un_auth*0100738 $a Coufal $b David $i Oddělení nelineární dynamiky a složitých systémů $j Department of Nonlinear Dynamics and Complex Systems $p UIVT-O $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i.
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.