Share Email Print

Proceedings Paper

Feed-forward neural networks for event classification in high-energy physics: where do we stand?
Author(s): Alessandro De Angelis
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Artificial Neural Networks (Feed-Forward Neural Networks in particular) have been proposed as a tool for event classification in High Energy Physics. After the first experimentation and an impressive success, they are nowadays a standard technique, for which an engineering is hoped.

Paper Details

Date Published: 22 March 1996
PDF: 5 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235977
Show Author Affiliations
Alessandro De Angelis, CERN (Italy)

Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)

© SPIE. Terms of Use
Back to Top