Evolutionary learning strategies for Cellular Neural Networks

Research output: Contribution to conferences › Paper › Contributed › peer-review

Contributors

  • R. Kunz - , University Hospital Frankfurt (Author)
  • R. Tetzlaff - , University Hospital Frankfurt (Author)

Abstract

A learning algorithm for cellular neural networks is presented based on evolutionary strategies. The proposed global optimization procedure is discussed in detail and the performance on various parameter determination problems is shown.

Details

Original languageEnglish
Pages241-246
Number of pages6
Publication statusPublished - 2000
Peer-reviewedYes
Externally publishedYes

Conference

TitleProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
Duration23 - 25 May 2000
CityCatania, Italy

External IDs

ORCID /0000-0001-7436-0103/work/142240258

Keywords

ASJC Scopus subject areas