Publication Details

Evolutionary Approximation and Neural Architecture Search

PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. Evolutionary Approximation and Neural Architecture Search. Genetic Programming and Evolvable Machines, vol. 23, no. 3, 2022, pp. 351-374. ISSN 1389-2576. Available from: https://link.springer.com/article/10.1007/s10710-022-09441-z

Czech title

Evoluční aproximace a prohledávání architektur neuronových sítí

Type

journal article

Language

english

Authors

Piňos Michal, Ing. (DCSY FIT BUT)
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT)

URL

https://link.springer.com/article/10.1007/s10710-022-09441-z

Keywords

Approximate computing, Convolutional neural network, Cartesian genetic programming, Neuroevolution, Energy efficiency

Published

2022

Pages

351-374

Journal

Genetic Programming and Evolvable Machines, vol. 23, no. 3, ISSN 1389-2576

Publisher

Springer International Publishing

DOI

10.1007/s10710-022-09441-z

UT WoS

000810226500001

EID Scopus

2-s2.0-85131746167

BibTeX

@ARTICLE{FITPUB12614,
   author = "Michal Pi\v{n}os and Vojt\v{e}ch Mr\'{a}zek and Luk\'{a}\v{s} Sekanina",
   title = "Evolutionary Approximation and Neural Architecture Search",
   pages = "351--374",
   journal = "Genetic Programming and Evolvable Machines",
   volume = 23,
   number = 3,
   year = 2022,
   ISSN = "1389-2576",
   doi = "10.1007/s10710-022-09441-z",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12614"
}