Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems

Peter Szolgay, Istvan Salyi, Zsofia Szolgay

Research output: Contribution to conferencePaper

3 Citations (Scopus)

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 a mechanical system can be decomposed homogeneous parts, avoiding the use of space variant templates which can not be implemented on current analog CNN Universal Machine (CNNUM) chips. A computational complexity to time transformation is proposed in this contribution.

Original languageEnglish
Pages257-260
Number of pages4
Publication statusPublished - Dec 1 1997
EventProceedings of the 1997 International Conference on Intelligent Engineering Systems, INES - Budapest, Hungary
Duration: Sep 15 1997Sep 17 1997

Other

OtherProceedings of the 1997 International Conference on Intelligent Engineering Systems, INES
CityBudapest, Hungary
Period9/15/979/17/97

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)

Cite this

Szolgay, P., Salyi, I., & Szolgay, Z. (1997). Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems. 257-260. Paper presented at Proceedings of the 1997 International Conference on Intelligent Engineering Systems, INES, Budapest, Hungary, .