Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance

  1. Frances-Villora, J.V.
  2. Rosado-Muñoz, A.
  3. Martínez-Villena, J.M.
  4. Bataller-Mompean, M.
  5. Guerrero, J.F.
  6. Wegrzyn, M.
Revue:
Computers and Electrical Engineering

ISSN: 0045-7906

Année de publication: 2016

Volumen: 51

Pages: 139-156

Type: Article

DOI: 10.1016/J.COMPELECENG.2016.02.007 GOOGLE SCHOLAR
La source de données: Scopus