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Proceedings Paper

Feed-forward neural networks for event classification in high-energy physics: where do we stand?
Author(s): Alessandro De Angelis
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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)

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