### 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 form 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.

Original language | English |
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Title of host publication | Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications |

Publisher | IEEE |

Pages | 321-326 |

Number of pages | 6 |

Publication status | Published - 1994 |

Event | Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) - Rome, Italy Duration: Dec 18 1994 → Dec 21 1994 |

### Other

Other | Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) |
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City | Rome, Italy |

Period | 12/18/94 → 12/21/94 |

### Fingerprint

### ASJC Scopus subject areas

- Software

### Cite this

*Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications*(pp. 321-326). IEEE.

**Transient response computation of a mechanical vibrating system using cellular neural networks.** / Szolgay, P.; Voros, Gabor.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications.*IEEE, pp. 321-326, Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94), Rome, Italy, 12/18/94.

}

TY - GEN

T1 - Transient response computation of a mechanical vibrating system using cellular neural networks

AU - Szolgay, P.

AU - Voros, Gabor

PY - 1994

Y1 - 1994

N2 - 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 form 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.

AB - 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 form 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.

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UR - http://www.scopus.com/inward/citedby.url?scp=0028755905&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0028755905

SP - 321

EP - 326

BT - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

PB - IEEE

ER -