DocumentCode
2534780
Title
A stored program 2nd order/3-layer complex cell CNN-UM
Author
Rekeczky, Cs ; Serrano-Gotarredona, T. ; Roska, T. ; Rodriguez-Vazquez, A.
Author_Institution
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear
2000
fDate
2000
Firstpage
213
Lastpage
217
Abstract
A stored program 2nd order/3-layer complex cell cellular neural network Universal Machine (CNN-UM) architecture is introduced. We discuss a number of phenomena that can be generated in this system by a single CNN transient. In particular, it is pointed out that by a proper combination two dynamic layers some operations can be easily implemented that would require an approximation or iterative algorithmic solution relying on a first order CNN system. Thus, during these experiments, in a 2nd order/3-layer CNN new multi-layer templates have been identified as efficient basic building blocks for various application motivated analogic algorithms
Keywords
cellular neural nets; image processing; neural net architecture; analogic algorithms; cellular neural network Universal Machine architecture; dynamic layers; stored program 2nd order/3-layer complex cell CNN-UM; Approximation algorithms; Arithmetic; Automation; Cellular neural networks; Gabor filters; Image edge detection; Iterative algorithms; Laboratories; Motion control; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876847
Filename
876847
Link To Document