DocumentCode
1157434
Title
The use of neural networks in the D0 data acquisition system
Author
Cutts, David ; Hoftun, Jan S. ; Sornborger, Andrew ; Astur, Richard V. ; Johnson, Christopher R. ; Zeller, Raymond T.
Author_Institution
Brown Univ., Providence, RI, USA
Volume
36
Issue
5
fYear
1989
fDate
10/1/1989 12:00:00 AM
Firstpage
1490
Lastpage
1493
Abstract
The possible application of algorithms derived from neural networks to the D0 experiment is discussed. The D0 data acquisition system is based on a large farm of MicroVaxes, each independently performing real-time event filtering. Advanced multiport memories in each MicroVAX node will enable special function processors to have direct access to event data. An exploratory study of back-propagation neural networks, such as might be configured in the nodes, for more efficient event filtering is described
Keywords
data acquisition; neural nets; nuclear electronics; physics computing; real-time systems; D0 experiment; MicroVaxes; back-propagation neural networks; multiport memories; real-time event filtering; Concurrent computing; Data acquisition; Filtering; Intelligent networks; Neural networks; Parallel processing; Pattern recognition; Physics computing; Real time systems; Sampling methods;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.41089
Filename
41089
Link To Document