A learning algorithm for the dynamics of CNN with nonlinear templates -Part I: Discrete-time case

Publikation: Beitrag zu Konferenzen › Paper › Beigetragen › Begutachtung

Beitragende

  • R. Tetzlaff - , Universitätsklinikum Frankfurt (Autor:in)
  • Dietrich Wolf - , Universitätsklinikum Frankfurt (Autor:in)

Abstract

A learning algorithm for the dynamics of discrete-time cellular neural networks (DTCNN) with nonlinear templates gradient-based is presented. For modeling the dynamics of nonlinear spatio-temporal systems with DTCNN, it is applied to find the network parameters. Results for two different nonlinear time-discrete systems are discussed in detail.

Details

OriginalspracheEnglisch
Seiten461-466
Seitenumfang6
PublikationsstatusVeröffentlicht - 1996
Peer-Review-StatusJa
Extern publiziertJa

Konferenz

TitelProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96
Dauer24 - 26 Juni 1996
StadtSeville, Spain

Externe IDs

ORCID /0000-0001-7436-0103/work/142240253

Schlagworte

ASJC Scopus Sachgebiete