Neural networks for offline analysis in high-energy physics

Alessandro D. de Angelis

doi:10.1117/12.205103

6 April 1995 Neural networks for offline analysis in high-energy physics

Alessandro D. de Angelis

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205103
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Feed-forward neural networks are nowadays a standard tool in the toolbox of high energy physicists. This talk summarizes the fields of application in offline analysis, and discusses some open problems.

Citation Download Citation

Alessandro D. de Angelis "Neural networks for offline analysis in high-energy physics", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205103

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