Implementation of cellular wave computing methods by hardware learning: Ion beam analysis

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung

Beitragende

  • Gunter Geis - , Johann Wolfgang Goethe-Universität Frankfurt am Main (Autor:in)
  • Vanessa Senger - , Johann Wolfgang Goethe-Universität Frankfurt am Main (Autor:in)
  • Ronald Tetzlaff - , Johann Wolfgang Goethe-Universität Frankfurt am Main (Autor:in)

Abstract

In this contribution we will present an on-chip training by implementing an evolutionary optimization algorithm on the EyeRIS Vision System. Furthermore first results in the analysis of ion beams performed on the same hardware platform using standard templates will be presented.

Details

OriginalspracheEnglisch
TitelProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
PublikationsstatusVeröffentlicht - 2006
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
ISSN2165-0144

Konferenz

Titel2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
Dauer28 - 30 August 2006
StadtIstanbul
LandTürkei

Externe IDs

ORCID /0000-0001-7436-0103/work/173513946

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

  • CNN hardware, Ion beam analysis, On-chip learning