Actions for Analog neural networks in an upgraded muon trigger for the DZero detector [electronic resource].

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Analog neural networks in an upgraded muon trigger for the DZero detector [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 1992.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
7 pages : digital, PDF file
Additional Creators
Fermi National Accelerator Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
The use of analog neural networks as part of the DZero muon detector is considered. A study was made of tracking through a single muon chamber using neural network techniques. A hardware application based on Intel`s ETANN ship was designed and used in a test beam at Fermi National Accelerator Laboratory. Plans to implement a neural network trigger in DZero are also discussed.
Report Numbers
E 1.99:fnal/c--92/113
E 1.99: conf-920172--6
conf-920172--6
fnal/c--92/113
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
04/01/1992.
"fnal/c--92/113"
" conf-920172--6"
"DE92014610"
2. international workshop on software engineering, artificial intelligence (AI), and neural nets for high energy and nuclear physics,L`Agelonde (France),13-18 Jan 1992.
Fortner, M.R.
Funding Information
AC02-76CH03000
View MARC record | catkey: 14357435