Title :
Transient response computation of a mechanical vibrating system using cellular neural networks
Author :
Szolgay, Péter ; Vörös, Gábor
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
Cellular neural networks (CNNs) paradigm is applied in the paper to compute the transient response of mechanical vibrating systems. Based on previous theoretical results on this field we would like to show (i) how the CNN templates can be generated automatically by a subroutine from the COSMOS/M finite element analysis system; (ii) how we assign to each degree of freedom two coupled CNN layers and how the templates are derived. Some interesting examples are shown and analyzed
Keywords :
cellular neural nets; finite element analysis; mathematics computing; mechanical engineering computing; subroutines; transient response; vibrations; CNN templates; COSMOS/M; cellular neural networks; coupled CNN layers; degree of freedom; finite element analysis system; mechanical vibrating system; subroutine form; theoretical results; transient response computation; Algorithms; Cellular neural networks; Computer networks; Damping; Differential equations; Elasticity; Finite element methods; Partial differential equations; Symmetric matrices; Transient response;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381659
