6 April 1995 Neural networks for offline analysis in high-energy physics
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alessandro D. de Angelis, 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); doi: 10.1117/12.205103; https://doi.org/10.1117/12.205103
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