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
fDate :
10/1/1989 12:00:00 AM
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;
Journal_Title :
Nuclear Science, IEEE Transactions on
