Title :
Cellular Neural Networks modeling of tsunami waves
Author :
Slavova, Angela ; Zecca, Pietro
Author_Institution :
Inst. of Math. & Inf., Sofia, Bulgaria
Abstract :
In this paper CNN modeling of tsunami waves is presented. Two models are studied: two-component Camassa-Holm type equation is studied and generalized KdV equation. For these cases CNN models are constructed and traveling wave solutions are obtained theoretically and via simulations. New type of traveling wave solutions are introduced - peak type, called peakon. Discussion and example of tsunami waves are provided at the end of the paper.
Keywords :
Korteweg-de Vries equation; cellular neural nets; geophysics computing; tsunami; CNN modeling; cellular neural network modeling; generalized KdV equation; peak type; peakon; traveling wave solution; tsunami waves; two-component Camassa-Holm type equation; Equations; Mathematical model; Numerical models; Shape; Solitons; Surface waves; Tsunami;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331405
