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 :
بازگشت