A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems

Author

Szolgay, Péter ; Hidvégi, Timót ; Szolgay, Zsófia ; Kozma, Péter

Author_Institution

Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary

fYear

2000

fDate

2000

Firstpage

9

Lastpage

13

Abstract

The large computing power of cellular neural networks (CNNs) is used to compute the transient response of a mechanical vibrating system. A basic question is how an inhomogeneous mechanical system can be computed by using different CNNUM (cellular neural net Universal Machine ) implementations. How complexity to time transformations were used in different CNNUM implementations, namely in software, in emulated digital CNN chips and in analog chips is discussed

Keywords

analogue integrated circuits; analogue processing circuits; cellular neural nets; computational complexity; digital integrated circuits; neural chips; transient response; vibrations; analog chips; cellular neural net Universal Machine; complexity to time transformations; digital CNN chips; inhomogeneous mechanical system; mechanical vibrating system; spatiotemporal dynamics; transient response; Automation; Boundary conditions; Cellular neural networks; Computer networks; Damping; Equations; Laboratories; Mechanical systems; Spatiotemporal phenomena; Transient response;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Conference_Location

Catania

Print_ISBN

0-7803-6344-2

Type

conf

DOI

10.1109/CNNA.2000.876811

Filename

876811