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A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859405IEEE-INNS-ENNS International Joint Co ...
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F. Acernese, Universit? di Salerno
F. Barone, Universit? di Salerno and Istituto Nazionale di Fisica Nucleare, sez. Napoli
A. Eleuteri, Istituto Nazionale di Fisica Nucleare, sez. Napoli and Universit? di Napoli
F. Garufi, Istituto Nazionale di Fisica Nucleare, sez. Napoli
L. Milano, Istituto Nazionale di Fisica Nucleare, sez. Napoli and Universit? di Napoli ?Federico II?
R. Tagliaferri, Universit? di Salerno, INFM unit? di Salerno and IIASS ?E. R. Caianiello?
In this paper, a hierarchical Neural Network-based approach is presented to identify the noise in the Virgo experiment to detect Gravitational Waves b y means of a laser interferometer.
Citation:
F. Acernese, F. Barone, A. Eleuteri, F. Garufi, L. Milano, R. Tagliaferri, "A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification," ijcnn, vol. 6, pp.6253, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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