A Neural Network-based ARX Model of Virgo Noise
| dc.creator | Barone, F. | |
| dc.creator | De Rosa, R. | |
| dc.creator | Eleuteri, A. | |
| dc.creator | Garufi, F. | |
| dc.creator | Milano, L. | |
| dc.creator | Tagliaferri, R. | |
| dc.date | 1999-06-07 | |
| dc.date.accessioned | 2026-07-07T02:31:51Z | |
| dc.date.available | 2026-07-07T02:31:51Z | |
| dc.description | In this paper a Neural Network based approach is presented to identify the noise in the VIRGO context. VIRGO is an experiment to detect Gravitational Waves by means of a Laser Interferometer. Preliminary results appear to be very promising for data analysis of realistic Interferometer outputs. | |
| dc.description | 13 pages, wicsbook.sty macro file, accepted for publication in the proceedings of the 11th Italian Workshop on Neural Networks, WIRN Vietri 99, M. Marinaro and R. Tagliaferri eds., Springer-Verlag 1999 | |
| dc.identifier | https://arxiv.org/abs/astro-ph/9906107 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/9906107 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/14308 | |
| dc.subject | Astrophysics | |
| dc.title | A Neural Network-based ARX Model of Virgo Noise | |
| dc.type | text |