Complexity of two dimensional multi-layer cellular neural networks

Jung Chao Ban*, Chih Hung Chang, Wen Guei Hu, Song-Sun Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates the complexity of the global set of output patterns for two-dimensional multi-layer cellular neural networks. Applying labeling to the output space produces a two-dimensional sofic shift space. The ordering matrices and symbolic transition matrices are introduced to study the spatial entropy of the output space.

Original languageEnglish
Title of host publication2011 International Conference on Multimedia Computing and Systems, ICMCS'11
DOIs
StatePublished - 12 Aug 2011
Event2011 International Conference on Multimedia Computing and Systems, ICMCS'11 - Ouarzazate, Morocco
Duration: 7 Apr 20119 Apr 2011

Publication series

NameInternational Conference on Multimedia Computing and Systems -Proceedings

Conference

Conference2011 International Conference on Multimedia Computing and Systems, ICMCS'11
CountryMorocco
CityOuarzazate
Period7/04/119/04/11

Keywords

  • cellular neural networks
  • sofic shift
  • spatial entropy

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