Self-organizing networks for classification: developing applications to science analysis for astroparticle physics

Author:

De Angelis A.,Boinee P.,Frailis M.,Milotti E.

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference18 articles.

1. DELPHI Coll., Phys. Lett. B 295 (1992) 383

2. Using neural networks to identify jets

3. Tagging the decays of the Z0 boson into b quark pairs with a neural network classifier

4. P. Boinee, A. De Angelis, E. Milotti, Automatic classification using self-organizing neural networks in astrophysical experiments, in: S. Ciprini, A. De Angelis, P. Lubrano, O. Mansutti (Eds.), Proceedings of Science with the New Generation of High Energy Gamma-ray Experiments, Perugia, Italy, May 2003. Forum, Udine 2003, pp. 177; arXiv:cs.NE/0307031.

5. C. Cecchi, F. Marcucci, G. Tosti, An application of the independent component analysis methodology to gamma ray astrophysical imaging, in: S. Ciprini, A. De Angelis, P. Lubrano, O. Mansutti (Eds.), Proceedings of Science with the New Generation of High Energy Gamma-ray Experiments, Perugia, Italy, May 2003, Forum, Udine 2003, pp. 168; astro-ph/0306563.

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