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

Peter Szolgay, Timot Hidvegi, Zsofia Szolgay, Peter Kozma

Research output: Contribution to conferencePaper

Abstract

The large computing power of the Cellular Neural Networks (CNNs) is used here 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 implementations. How complexity to time transformations were used in different CNNUM implementations, namely in software, in emulated digital CNN chip and in analog chip.

Original languageEnglish
Pages9-13
Number of pages5
Publication statusPublished - Jan 1 2000
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - Catania, Italy
Duration: May 23 2000May 25 2000

Other

OtherProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CityCatania, Italy
Period5/23/005/25/00

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ASJC Scopus subject areas

  • Software

Cite this

Szolgay, P., Hidvegi, T., Szolgay, Z., & Kozma, P. (2000). Comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems. 9-13. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Catania, Italy, .