DocumentCode
1814747
Title
Cellular Neural Networks modeling of tsunami waves
Author
Slavova, Angela ; Zecca, Pietro
Author_Institution
Inst. of Math. & Inf., Sofia, Bulgaria
fYear
2012
fDate
29-31 Aug. 2012
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location
Turin
ISSN
2165-0160
Print_ISBN
978-1-4673-0287-6
Type
conf
DOI
10.1109/CNNA.2012.6331405
Filename
6331405
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