DocumentCode
1917137
Title
CNN computing of the interaction of fluxons
Author
Slavova, Angela ; Tetzlaff, Ronald ; Markova, Maya
Author_Institution
Inst. of Math. & Inf., Sofia, Bulgaria
fYear
2011
fDate
13-20 Aug. 2011
Firstpage
1
Lastpage
4
Abstract
In this paper we study Cellular Neural Network (CNN) computing of interaction of fluxons type solutions of the modified sine-Gordon equation. We propose analysis of such solutions by means of classical physical theory. Simulations of the obtained CNN model are given and discussed.
Keywords
cellular neural nets; magnetic flux; physics computing; cellular neural network; fluxon interaction; fluxons type solution; sine-Gordon equation; Arrays; Cellular neural networks; Computational modeling; Equations; Josephson junctions; Junctions; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
General Assembly and Scientific Symposium, 2011 XXXth URSI
Conference_Location
Istanbul
Print_ISBN
978-1-4244-5117-3
Type
conf
DOI
10.1109/URSIGASS.2011.6050774
Filename
6050774
Link To Document