Spatial entropy of one-dimensional cellular neural network

Song-Sun Lin*, Tzi Sheng Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


This work investigates the global mosaic pattern and spatial entropy for one-dimensional cellular neural network (CNN). A novel method is developed to partition the parameter space into finitely many regions. The CNNs, with parameters in each region, have the same global pattern. An algorithm is also presented to evaluate the spatial entropy.

Original languageEnglish
Pages (from-to)2129-2140
Number of pages12
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Issue number9
StatePublished - 1 Jan 2000

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