Published October 1989
| Version v1
Journal article
The use of neural networks in the D0 data acquisition system
- 1. Brown Univ., Providence, RI (USA)
- 2. Michigan State Univ., East Lansing, MI (USA)
- 3. ZRL, Cranston, RI (USA)
Description
The authors discuss the possible application of algorithms derived from neural networks to the D0 experiment. The D0 data acquisition system is based on a large farm of MicroVAXes, each independently performing real-time event filtering. A new generation of multiport memories in each MicroVAX node will enable special function processors to have direct access to event data. They describe an exploratory study of back propagation neural networks, such as might be configured in the nodes, for more efficient event filtering
Additional details
Publishing Information
- Journal Title
- IEEE Transactions on Nuclear Science
- Journal Volume
- 36
- Journal Issue
- 5
- Series
- IEEE Trans. Nucl. Sci.
- Journal Page Range
- 1490-1493
- ISSN
- 0018-9499
- CODEN
- IETNA
Conference
- Title
- 6. conference on real-time computer applications in nuclear, particle and plasma physics.
- Dates
- 15-19 May 1989.
- Place
- Williamsburg, VA (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 21014757
- Subject category
- S43: PARTICLE ACCELERATORS; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER NETWORKS; DATA ACQUISITION SYSTEMS; DEC COMPUTERS; LEP STORAGE RINGS; PARALLEL PROCESSING
- Descriptors DEC
- COMPUTERS; PROGRAMMING; STORAGE RINGS
Optional Information
- Secondary number(s)
- CONF-890545--.