Title :
Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection)
Author :
Tóth, G. ; Földesy, P. ; Roska, T.
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
In this paper a cellular neural network (CNN) implementation of a reaction-diffusion system is described, which produces distance preserving periodic Turing patterns. The CNN with complex-valued templates are introduced, presenting an application for pattern generation. Finally a method for black-and-white pattern detection is described
Keywords :
cellular neural nets; pattern recognition; 1D Turing-wave models; cellular neural network; complex-valued templates; distance preserving Turing patterns; pattern detection; pattern generation; reaction-diffusion system; Automation; Biological system modeling; Cellular neural networks; Chemistry; Equations; Inhibitors; Laboratories; Marine animals; Physics; Skin;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566503
