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Neural Networks for Spectral Analysis of Unevenly Sampled Data
R. Tagliaferri, A. Ciaramella, F. Barone +1
In this paper we present a neural network based estimator system which performs well the frequency extraction from unevenly sampled signals. It uses an unsupervised Hebbian nonline…
Spectral Analysis of Stellar Light Curves by Means of Neural Networks
R. Tagliaferri, A. Ciaramella, L. Milano +2
Periodicity analysis of unevenly collected data is a relevant issue in several scientific fields. In astrophysics, for example, we have to find the fundamental period of light or r…
A Neural Network-based ARX Model of Virgo Noise
F. Barone, R. De Rosa, A. Eleuteri +3
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 Inte…
Hybrid Neural Networks for Frequency Estimation of Unevenly Sampled Data
R. Tagliaferri, A. Ciaramella, L. Milano +1
In this paper we present a hybrid system composed by a neural network based estimator system and genetic algorithms. It uses an unsupervised Hebbian nonlinear neural algorithm to e…