Title :
CNN computing of the interaction of fluxons
Author :
Slavova, Angela ; Tetzlaff, Ronald ; Markova, Maya
Author_Institution :
Inst. of Math. & Inf., Sofia, Bulgaria
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;
Conference_Titel :
General Assembly and Scientific Symposium, 2011 XXXth URSI
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-5117-3
DOI :
10.1109/URSIGASS.2011.6050774
